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| fraud analysis and prevention in e-commerce transactions: Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques Bart Baesens, Veronique Van Vlasselaer, Wouter Verbeke, 2015-08-17 Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence. |
| fraud analysis and prevention in e-commerce transactions: Fraud Analytics Delena D. Spann, 2014-07-22 Proven guidance for expertly using analytics in fraud examinations, financial analysis, auditing and fraud prevention Fraud Analytics thoroughly reveals the elements of analysis that are used in today's fraud examinations, fraud investigations, and financial crime investigations. This valuable resource reviews the types of analysis that should be considered prior to beginning an investigation and explains how to optimally use data mining techniques to detect fraud. Packed with examples and sample cases illustrating pertinent concepts in practice, this book also explores the two major data analytics providers: ACL and IDEA. Looks at elements of analysis used in today's fraud examinations Reveals how to use data mining (fraud analytic) techniques to detect fraud Examines ACL and IDEA as indispensable tools for fraud detection Includes an abundance of sample cases and examples Written by Delena D Spann, Board of Regent (Emeritus) for the Association of Certified Fraud Examiners (ACFE), who currently serves as Advisory Board Member of the Association of Certified Fraud Examiners, Board Member of the Education Task Force of the Association of Certified Anti-Money Laundering Specialists ASIS International (Economic Crime Council) and Advisory Board Member of the Robert Morris University (School of Business), Fraud Analytics equips you with authoritative fraud analysis techniques you can put to use right away. |
| fraud analysis and prevention in e-commerce transactions: Financial Statement Fraud Zabihollah Rezaee, Richard Riley, 2009-09-11 Practical examples, sample reports, best practices and recommendations to help you deter, detect, and prevent financial statement fraud Financial statement fraud (FSF) continues to be a major challenge for organizations worldwide. Financial Statement Fraud: Prevention and Detection, Second Edition is a superior reference providing you with an up-to-date understanding of financial statement fraud, including its deterrence, prevention, and early detection. You will find A clear description of roles and responsibilities of all those involved in corporate governance and the financial reporting process to improve the quality, reliability and transparency of financial information. Sample reports, examples, and documents that promote a real-world understanding of incentives, opportunities, and rationalizations Emerging corporate governance reforms in the post-SOX era, including provisions of the SOX Act, global regulations and best practices, ethical considerations, and corporate governance principles Practical examples and real-world how did this happen discussions that provide valuable insight for corporate directors and executives, auditors, managers, supervisory personnel and other professionals saddled with anti-fraud responsibilities Expert advice from the author of Corporate Governance and Ethics and coauthor of the forthcoming Wiley textbook, White Collar Crime, Fraud Examination and Financial Forensics Financial Statement Fraud, Second Edition contains recommendations from the SEC Advisory Committee to reduce the complexity of the financial reporting process and improving the quality of financial reports. |
| fraud analysis and prevention in e-commerce transactions: Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning Goel, Pawan Kumar, 2024-08-22 In the landscape of e-commerce, data security has become a concern as businesses navigate the complexities of sensitive customer information protection and cyber threat mitigation. Strategies involving cloud computing, blockchain technology, artificial intelligence, and machine learning offer solutions to strengthen data security and ensure transactional integrity. Implementing these technologies requires a balance of innovation and efficient security protocols. The development and adoption of security strategies is necessary to positively integrate cutting-edge technologies for effective security in online business. Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning addresses the need for advanced security measures, while examining the current state of e-commerce data security. It explores strategies such as cloud computing, blockchain, artificial intelligence, and machine learning. This book covers topics such as cybersecurity, cloud technology, and forensics, and is a useful resource for computer engineers, business owners, security professionals, government officials, academicians, scientists, and researchers. |
| fraud analysis and prevention in e-commerce transactions: Fraud Analytics with SAS , 2019-06-21 SAS software provides many different techniques to monitor in real time and investigate your data, and several groundbreaking papers have been written to demonstrate how to use these techniques. Topics covered illustrate the power of SAS solutions that are available as tools for fraud analytics, highlighting a variety of domains, including money laundering, financial crime, and terrorism. Also available free as a PDF from: sas.com/books. |
| fraud analysis and prevention in e-commerce transactions: Fraud and Fraud Detection, + Website Sunder Gee, 2014-12-03 Detect fraud faster—no matter how well hidden—with IDEA automation Fraud and Fraud Detection takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's IDEA software. The book begins by reviewing the major types of fraud, then details the specific computerized tests that can detect them. Readers will learn to use complex data analysis techniques, including automation scripts, allowing easier and more sensitive detection of anomalies that require further review. The companion website provides access to a demo version of IDEA, along with sample scripts that allow readers to immediately test the procedures from the book. Business systems' electronic databases have grown tremendously with the rise of big data, and will continue to increase at significant rates. Fraudulent transactions are easily hidden in these enormous datasets, but Fraud and Fraud Detection helps readers gain the data analytics skills that can bring these anomalies to light. Step-by-step instruction and practical advice provide the specific abilities that will enhance the audit and investigation process. Readers will learn to: Understand the different areas of fraud and their specific detection methods Identify anomalies and risk areas using computerized techniques Develop a step-by-step plan for detecting fraud through data analytics Utilize IDEA software to automate detection and identification procedures The delineation of detection techniques for each type of fraud makes this book a must-have for students and new fraud prevention professionals, and the step-by-step guidance to automation and complex analytics will prove useful for even experienced examiners. With datasets growing exponentially, increasing both the speed and sensitivity of detection helps fraud professionals stay ahead of the game. Fraud and Fraud Detection is a guide to more efficient, more effective fraud identification. |
| fraud analysis and prevention in e-commerce transactions: Computational Intelligence Amit Konar, 2006-01-16 Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of computational intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of fuzzy sets and logic, neural networks, evolutionary computing and belief networks. The application areas include fuzzy databases, fuzzy control, image understanding, expert systems, object recognition, criminal investigation, telecommunication networks, and intelligent robots. The book contains many numerical examples and homework problems with sufficient hints so that the students can solve them on their own. |
| fraud analysis and prevention in e-commerce transactions: Essentials of Online payment Security and Fraud Prevention David A. Montague, 2010-11-05 Essential guidance for preventing fraud in the card-not-present (CNP) space This book focuses on the prevention of fraud for the card-not-present transaction. The payment process, fraud schemes, and fraud techniques will all focus on these types of transactions ahead. Reveals the top 45 fraud prevention techniques Uniquely focuses on eCommerce fraud essentials Provides the basic concepts around CNP payments and the ways fraud is perpetrated If you do business online, you know fraud is a part of doing business. Essentials of On-line Payment Security and Fraud Prevention equips you to prevent fraud in the CNP space. |
| fraud analysis and prevention in e-commerce transactions: Real-time Fraud Detection Analytics on IBM System z Mike Ebbers, Dheeraj Reddy Chintala, Priya Ranjan, Lakshminarayanan Sreenivasan, IBM Redbooks, 2013-04-11 Payment fraud can be defined as an intentional deception or misrepresentation that is designed to result in an unauthorized benefit. Fraud schemes are becoming more complex and difficult to identify. It is estimated that industries lose nearly $1 trillion USD annually because of fraud. The ideal solution is where you avoid making fraudulent payments without slowing down legitimate payments. This solution requires that you adopt a comprehensive fraud business architecture that applies predictive analytics. This IBM® Redbooks® publication begins with the business process flows of several industries, such as banking, property/casualty insurance, and tax revenue, where payment fraud is a significant problem. This book then shows how to incorporate technological advancements that help you move from a post-payment to pre-payment fraud detection architecture. Subsequent chapters describe a solution that is specific to the banking industry that can be easily extrapolated to other industries. This book describes the benefits of doing fraud detection on IBM System z®. This book is intended for financial decisionmakers, consultants, and architects, in addition to IT administrators. |
| fraud analysis and prevention in e-commerce transactions: Computer Science Engineering and Emerging Technologies Rajeev Sobti, Rachit Garg, Ajeet Kumar Srivastava, Gurpeet Singh Shahi, 2024-06-07 The year 2022 marks the 100th birth anniversary of Kathleen Hylda Valerie Booth, who wrote the first assembly language and designed the assembler and auto code for the first computer systems at Birkbeck College, University of London. She helped design three different machines including the ARC (Automatic Relay Calculator), SEC (Simple Electronic Computer), and APE(X). School of Computer Science and Engineering, under the aegis of Lovely Professional University, pays homage to this great programmer of all times by hosting “BOOTH100”—6th International Conference on Computing Sciences. |
| fraud analysis and prevention in e-commerce transactions: Improving E-Commerce Web Applications Through Business Intelligence Techniques Sreedhar, G., 2018-02-02 As the Internet becomes increasingly interconnected with modern society, the transition to online business has developed into a prevalent form of commerce. While there exist various advantages and disadvantages to online business, it plays a major role in contemporary business methods. Improving E-Commerce Web Applications Through Business Intelligence Techniques provides emerging research on the core areas of e-commerce web applications. While highlighting the use of data mining, search engine optimization, and online marketing to advance online business, readers will learn how the role of online commerce is becoming more prevalent in modern business. This book is an important resource for vendors, website developers, online customers, and scholars seeking current research on the development and use of e-commerce. |
| fraud analysis and prevention in e-commerce transactions: Strategic Innovations of AI and ML for E-Commerce Data Security Kaur, Gaganpreet, Arora, Jatin, Jain, Vishal, Shaikh, Asadullah, 2024-09-13 As e-commerce continues to increase in usage and popularity, safeguarding consumers private data becomes critical. Strategic innovations in artificial intelligence and machine learning revolutionize data security by offering advanced tools for threat detection and mitigation. Integrating AI and machine learning into their security solutions will allow businesses to build customer trust and maintain a competitive edge throughout the growing digital landscapes. A thorough examination of cutting-edge innovations in e-commerce data security may ensure security measures keep up with current technological advancements in the industry. Strategic Innovations of AI and ML for E-Commerce Data Security explores practical applications in data security, algorithms, and modelling. It examines solutions for securing e-commerce data, utilizing AI and machine learning for modelling techniques, and navigating complex algorithms. This book covers topics such as data science, threat detection, and cybersecurity, and is a useful resource for computer engineers, data scientists, business owners, academicians, scientists, and researchers. |
| fraud analysis and prevention in e-commerce transactions: The Routledge Companion to Technology Management Tugrul Daim, Marina Dabić, Yu-Shan Su, 2022-08-31 Bringing together an international range of expertise, this comprehensive Companion to Technology Management is designed to facilitate the development of management frameworks adaptable for a wide range of organizations, as well as an overview of the development and integration of technology in advanced and emerging economies. Research-based and drawing on a range of practical tools and international cases, it covers the diverse spectrum of the challenges of technology management and how to approach them: I Fundamentals of Technology Management provides an overview of the fundamental aspects of technology management. II Technology Planning focusses on technology-driven organizations, government labs and universities. III Technology Evaluation includes evaluation and assessment, adoption and forecasting through management tools. IV Technology Development and Transfer includes integration, marketing and intellectual property management. V Managing Technological Innovations addresses policy, open innovation and technology entrepreneurship. VI Society and Technology Management focusses on social issues which impact technology and its management. VII New Technologies and Emerging Regions includes blockchain, biotechnologies and smart cities. This Companion is an essential comprehensive source of new and emerging approaches for researchers and advanced students in engineering and technology management, as well as professionals seeking an authoritative global reference source. |
| fraud analysis and prevention in e-commerce transactions: Quantum Networks and Their Applications in AI Ananth, Christo, Ibrahim Khalaf, Osamah, Anand, Jose, 2024-08-15 The union of quantum networks and artificial intelligence marks a pivotal moment in the trajectory of technological advancement. This encompasses data security, optimization, finance, high-precision sensors, simulations, and computer applications. Numerous quantum information and processing systems have been created and proven in labs, fields, and commercial settings during the last few decades. Quantum technologies have received considerable support for research and development from corporations and governments. However, considerable work is required to bring quantum technology-based gadgets and systems to consumers' homes. Quantum Networks and Their Applications in AI investigates the potential uses of artificial intelligence and related technologies in quantum networks and to educate the computational intelligence community about current advances in quantum information technology. The purpose of this research topic is to bring together individuals from academia and industry, from the classical and quantum artificial intelligence communities in order to discuss the theory, technology, and applications of quantum technologies, and to exchange ideas on how to efficiently advance the engineering and development of this fascinating field. Covering topics such as machine learning, management systems, and quantum networks, this book is a valuable resource for computer scientists, engineers, professionals, researchers, academicians, government officials, policy makers, and more. |
| fraud analysis and prevention in e-commerce transactions: The Fight Against Fraud , 2004 |
| fraud analysis and prevention in e-commerce transactions: Fraud Analysis Techniques Using ACL David Coderre, 2009-07-23 When people ask me what they can do to better utilize ACL, I tell them, 'Take an instructor lead course, participate in the ACL Forum, and study (not read, study) David Coderre's Fraud Analysis Techniques Using ACL.' I studied this book, and would not be where I am today without it. Even without the anti-fraud material, the book is worth the investment as a tool to learning ACL! —Porter Broyles, President and founder of the Texas ACL User Group, Keynote Speaker at ACL's 2009 San Francisco Conference, Official ACL Super User For individuals interested in learning about fraud analysis techniques or the art of ACL scripting, this book is a must-read. For those individuals interested in learning both, this book is a treasure. —Jim Hess, Principal, Hess Group, LLC Your very own ACL Fraud Toolkit—at your fingertips Fraud Analysis Techniques Using ACL offers auditors and investigators: Authoritative guidance from David Coderre, renowned expert on the use of computer-assisted audit tools and techniques in fraud detection A website containing an educational version of ACL from the world leader in fraud detection software An accompanying website containing a thorough Fraud Toolkit with two sets of customizable scripts to serve your specific audit needs Case studies and sample data files that you can use to try out the tests Step-by-step instructions on how to run the tests A self-study course on ACL script development with exercises, data files, and suggested answers The toolkit also contains 12 'utility scripts' and a self-study course on ACL scripting which includes exercises, data files, and proposed answers. Filled with screen shots, flow charts, example data files, and descriptive commentary highlighting and explaining each step, as well as case studies offering real-world examples of how the scripts can be used to search for fraud, Fraud Analysis Techniques Using ACL is the only toolkit you will need to harness the power of ACL to spot fraud. |
| fraud analysis and prevention in e-commerce transactions: AI Revolution in E-Commerce: Transforming Shopping with Smart Technologies DIZZY DAVIDSON, 2024-07-29 Are you struggling to fully understand the impact of AI in healthcare? Do you wonder how AI can revolutionize diagnosis, treatment, and patient management? Look no further! This book, “AI in Healthcare: Revolutionizing Diagnosis, Treatment, and Management,” is your comprehensive guide to navigating the complex world of AI in the medical field. Discover the transformative power of AI in diagnosing diseases, creating personalized treatment plans, performing robotic surgeries, and managing patient records. This book provides you with the knowledge and tools to harness AI’s potential, ensuring you stay ahead in the rapidly evolving healthcare landscape. Benefits of reading this book: Gain a deep understanding of AI applications in healthcare. Learn how AI enhances diagnostic accuracy and treatment efficacy. Explore real-world case studies and success stories. Understand the ethical and legal considerations of AI in medicine. Discover how AI can streamline administrative tasks and reduce costs. Why this book is essential: Comprehensive Coverage: From disease detection to robotic surgeries, this book covers all critical aspects of AI in healthcare. Expert Insights: Written by industry experts, it provides valuable insights and practical knowledge. Real-World Applications: Learn from real-world examples and case studies that illustrate the successful implementation of AI. Future Trends: Stay informed about emerging trends and technologies shaping the future of healthcare. Viral Bullet Points: Unlock the secrets of AI-driven diagnostics. Discover how AI personalizes treatment plans. Explore the future of robotic-assisted surgeries. Learn how AI manages patient records efficiently. Understand the ethical implications of AI in healthcare. Call to Action: Don’t miss out on the opportunity to revolutionize your understanding of AI in healthcare. Get your copy of “AI in Healthcare: Revolutionizing Diagnosis, Treatment, and Management” today! Equip yourself with the knowledge to leverage AI’s potential and become a leader in the healthcare industry. |
| fraud analysis and prevention in e-commerce transactions: Disruptive Technologies for Society 5.0 Vikram Bali, Vishal Bhatnagar, Sapna Sinha, Prashant Johri, 2021-11-14 This book investigates how we as citizens of Society 5.0 borrow the disruptive technologies like Blockchain, IoT, cloud and software-defined networking from Industry 4.0, with its automation and digitization of manufacturing verticals, to change the way we think and act in cyberspace incorporated within everyday life. The technologies are explored in Non-IT sectors, their implementation challenges put on the table, and new directions of thought flagged off. Disruptive Technologies for Society 5.0: Exploration of New Ideas, Techniques, and Tools is a pathbreaking book on current research, with case studies to comprehend their importance, in technologies that disrupt the de facto. This book is intended for researchers and academicians and will enable them to explore new ideas, techniques, and tools. |
| fraud analysis and prevention in e-commerce transactions: Fraud Analytics Delena D. Spann, 2013-10-21 Proven guidance for expertly using analytics in fraud examinations, financial analysis, auditing and fraud prevention Fraud Analytics thoroughly reveals the elements of analysis that are used in today's fraud examinations, fraud investigations, and financial crime investigations. This valuable resource reviews the types of analysis that should be considered prior to beginning an investigation and explains how to optimally use data mining techniques to detect fraud. Packed with examples and sample cases illustrating pertinent concepts in practice, this book also explores the two major data analytics providers: ACL and IDEA. Looks at elements of analysis used in today's fraud examinations Reveals how to use data mining (fraud analytic) techniques to detect fraud Examines ACL and IDEA as indispensable tools for fraud detection Includes an abundance of sample cases and examples Written by Delena D Spann, Board of Regent (Emeritus) for the Association of Certified Fraud Examiners (ACFE), who currently serves as Advisory Board Member of the Association of Certified Fraud Examiners, Board Member of the Education Task Force of the Association of Certified Anti-Money Laundering Specialists ASIS International (Economic Crime Council) and Advisory Board Member of the Robert Morris University (School of Business), Fraud Analytics equips you with authoritative fraud analysis techniques you can put to use right away. |
| fraud analysis and prevention in e-commerce transactions: Protocols for Secure Electronic Commerce Mostafa Hashem Sherif, 2003-11-24 The continued growth of e-commerce mandates the emergence of new technical standards and methods that will securely integrate online activities with pre-existing infrastructures, laws and processes. Protocols for Secure Electronic Commerce, Second Edition addresses the security portion of this challenge. It is a full compendium of the protocols for securing online commerce and payments, serving as an invaluable resource for students and professionals in the fields of computer science and engineering, IT security, and financial and banking technology. The initial sections provide a broad overview of electronic commerce, money, payment systems, and business-to-business commerce, followed by an examination of well-known protocols (SSL, TLS, WTLS, and SET). The book also explores encryption algorithms and methods, EDI, micropayment, and multiple aspects of digital money. Like its predecessor, this edition is a general analysis that provides many references to more technical resources. It delivers extensive revisions of previous chapters, along with new chapters on electronic commerce in society, new e-commerce systems, and the security of integrated circuit cards. |
| fraud analysis and prevention in e-commerce transactions: Encyclopedia of E-Commerce Development, Implementation, and Management Lee, In, 2016-03-31 The convenience of online shopping has driven consumers to turn to the internet to purchase everything from clothing to housewares and even groceries. The ubiquity of online retail stores and availability of hard-to-find products in the digital marketplace has been a catalyst for a heighted interest in research on the best methods, techniques, and strategies for remaining competitive in the era of e-commerce. The Encyclopedia of E-Commerce Development, Implementation, and Management is an authoritative reference source highlighting crucial topics relating to effective business models, managerial strategies, promotional initiatives, development methodologies, and end-user considerations in the online commerce sphere. Emphasizing emerging research on up-and-coming topics such as social commerce, the Internet of Things, online gaming, digital products, and mobile services, this multi-volume encyclopedia is an essential addition to the reference collection of both academic and corporate libraries and caters to the research needs of graduate-level students, researchers, IT developers, and business professionals. . |
| fraud analysis and prevention in e-commerce transactions: Role of Explainable Artificial Intelligence in E-Commerce Loveleen Gaur, |
| fraud analysis and prevention in e-commerce transactions: Forensic Accounting and Fraud Examination Mary-Jo Kranacher, Richard Riley, 2023-12-19 The gold standard in textbooks on forensic accounting, fraud detection, and deterrence In the newly revised third edition of Forensic Accounting and Fraud Examination, a team of renowned educators provides students and professionals alike with a comprehensive introduction to forensic accounting, fraud detection, and deterrence. Adhering to the model curriculum for education in fraud and forensic accounting funded by the US National Institute of Justice, this leading textbook offers real-world practicality supported by effective learning pedagogies and engaging case studies that bring technical concepts to life. Covering every key step of the investigative process, Forensic Accounting and Fraud Examination contains 32 integrated IDEA and Tableau software cases that introduce students to the practical tools accounting professionals use to maximize auditing and analytic capabilities, detect fraud, and comply with documentation requirements. Numerous case summaries, “The Fraudster’s Perspective” boxes, and detailed discussions of a wide range of accounting issues provide students and practitioners with the tools they’ll need to successfully investigate, prosecute, research, and resolve forensic accounting issues and financial fraud. The perfect resource for students of forensic accounting and fraud examination, as well as practitioners in the field, Forensic Accounting and Fraud Examination, Third Edition, will also prove invaluable for academics and researchers with an interest in the subject. |
| fraud analysis and prevention in e-commerce transactions: MULTIDISCIPLINARY APPROACHES FOR SUSTAINABLE DEVELOPMENT Anshuman Tripathi, Shilpi Birla, Mamta Soni, Jagrati Sahariya, Monica Sharma, 2024-11-25 In a world where the pace of technological advancement continues to accelerate, the imperative to ensure sustainable development has never been more pressing to address the same, the 1st International Conference on Multidisciplinary Approaches for Sustainable Development in Science & Technology (MASDST - 2024), took place at Manipal University Jaipur, Rajasthan, India, from 28th to 29th March 2024. Embracing the spirit of innovation and collaboration, this conference marks a significant milestone in the pursuit of sustainable solutions for our global challenges. |
| fraud analysis and prevention in e-commerce transactions: Advanced Methodologies and Technologies in Digital Marketing and Entrepreneurship Khosrow-Pour, D.B.A., Mehdi, 2018-11-09 As businesses aim to compete internationally, they must be apprised of new methods and technologies to improve their digital marketing strategy in order to remain ahead of their competition. Trends in entrepreneurship that drive consumer engagement and business initiatives, such as social media marketing, yields customer retention and positive feedback. Advanced Methodologies and Technologies in Digital Marketing and Entrepreneurship provides information on emerging trends in business innovation, entrepreneurship, and marketing strategies. While highlighting challenges such as successful social media interactions and consumer engagement, this book explores valuable information within various business environments and industries such as e-commerce, small and medium enterprises, hospitality and tourism management, and customer relationship management. This book is an ideal source for students, marketers, social media marketers, business managers, public relations professionals, promotional coordinators, economists, hospitality industry professionals, entrepreneurs, and researchers looking for relevant information on new methods in digital marketing and entrepreneurship. |
| fraud analysis and prevention in e-commerce transactions: Artificial Intelligence (AI) and Finance Bahaaeddin A. M. Alareeni, Islam Elgedawy, 2023-08-26 Artificial intelligence (AI) has the potential to significantly improve efficiency, reduce costs, and increase the speed and accuracy of financial decision-making, making it an increasingly important tool for financial professionals. One way that AI can improve efficiency in finance is by automating tasks and processes that are time-consuming and repetitive for humans. For example, AI algorithms can be used to analyze and process large amounts of data, such as financial statements and market data, in a fraction of the time that it would take a human to do so. This can allow financial professionals to focus on higher-value tasks, such as interpreting data and making strategic decisions, rather than being bogged down by mundane tasks. AI can also reduce costs in finance by increasing automation and eliminating the need for certain tasks to be performed manually. This can result in cost savings for financial institutions, which can then be passed on to customers in the form of lower fees or better services. AI can be used to identify unusual patterns of activity that may indicate fraudulent behavior. This can help financial institutions reduce losses from fraud and improve customer security. AI-powered chatbots and virtual assistants can help financial institutions provide faster, more efficient customer service, particularly when it comes to answering common questions and handling routine tasks. Some financial institutions are using AI to analyze market data and make trades in real-time. AI-powered trading algorithms can potentially make faster and more accurate trading decisions than humans. In terms of speed and accuracy, AI algorithms can analyze data and make decisions much faster than humans, and can do so with a high degree of accuracy. This can be particularly useful in fast-moving financial markets, where quick and accurate decision-making can be the difference between success and failure. This book highlights how AI in finance can improve efficiency, reduce costs, and increase the speed and accuracy of financial decision-making. Moreover, the book also focuses on how to ensure the responsible and ethical use of AI in finance. This book is a valuable resource for students, scholars, academicians, researchers, professionals, executives, government agencies, and policymakers interested in exploring the role of artificial intelligence (AI) in finance. Its goal is to provide a comprehensive overview of the latest research and knowledge in this area, and to stimulate further inquiry and exploration. |
| fraud analysis and prevention in e-commerce transactions: Advancements in Cybercrime Investigation and Digital Forensics A. Harisha, Amarnath Mishra, Chandra Singh, 2023-10-06 Vast manpower and resources are needed to investigate cybercrimes. The use of new advanced technologies, such as machine learning combined with automation, are effective in providing significant additional support in prevention of cyber-attacks, in the speedy recovery of data, and in reducing human error. This new volume offers a comprehensive study of the advances that have been made in cybercrime investigations and digital forensics, highlighting the most up-to-date tools that help to mitigate cyber-attacks and to extract digital evidence for forensic investigations to recover lost, purposefully deleted, or damaged files. The chapters look at technological cybersecurity tools such as artificial intelligence, machine learning, data mining, and others for mitigation and investigation. |
| fraud analysis and prevention in e-commerce transactions: Proceedings of Data Analytics and Management Deepak Gupta, Zdzislaw Polkowski, Ashish Khanna, Siddhartha Bhattacharyya, Oscar Castillo, 2022-01-04 This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. |
| fraud analysis and prevention in e-commerce transactions: Smart Retail: Revolutionizing the Shopping Experience with AI Samuel James, Samuel Inbaraja S, 2023-12-30 From personalized recommendations and dynamic pricing to automated inventory management and fraud detection, AI offers a treasure trove of opportunities to boost efficiency, enhance customer experience, and increase profitability. We'll explore how AI can be harnessed to: Understand your customers: Go beyond demographics to uncover hidden preferences and predict buying behavior. Optimize your operations: Streamline logistics, minimize stockouts, and make data-driven decisions for smarter inventory management. Personalize the shopping journey: Create frictionless experiences, offer relevant product suggestions, and build lasting customer relationships. Stay ahead of the curve: Identify emerging trends, adapt to market fluctuations, and innovate with confidence. |
| fraud analysis and prevention in e-commerce transactions: E-Commerce Zheng Qin, Qinghong Shuai, Guolong Wang, Pu Zhang, Mengyu Cao, Mingshi Chen, 2022-11-07 This book mainly discusses the background of e-commerce, the basic knowledge of e-commerce, the basic models of e-commerce, the basic principles of e-commerce and the cases of e-commerce. This book has formed a theoretical system of e-commerce with a clear integration boundary. The introduction of the systematic theory is guided by the background of e-commerce, centered on the model of e-commerce, paved with the principles of e-commerce and integrated with the cutting-edge cases. This book defines the basic concepts, models and principle of e-commerce in the form of mathematical analysis and analyzes the basic theory of e-commerce from the perspective of mathematical model. This enables readers to form an abstract understanding of the connotation and extension of e-commerce. It establishes a knowledge system with the background of social ecology, engineering ecology and innovative ecology, taking the models of e-commerce as the core, the principles of e-commerce as the process, the architecture of e-commerce as the platform and the operation and management of e-commerce as the means to integrate the knowledge into application. This book uses case study to comprehensively analyze and apply the knowledge system involved in e-commerce, combining theoretical research with engineering research. Through this book, readers can systematically master all kinds of theories involved in e-commerce. This book aims at different professional and diverse reader groups. It can be used as the basic books for students of various e-commerce-related specialties. |
| fraud analysis and prevention in e-commerce transactions: Proceedings of Second International Conference in Mechanical and Energy Technology Sanjay Yadav, Abid Haleem, P. K. Arora, Harish Kumar, 2022-06-26 This book presents selected peer-reviewed papers from the International Conference on Mechanical and Energy Technologies, which was held on October 28–29, 2021, at Galgotias College of Engineering and Technology, Greater Noida, India. The book reports on the latest developments in the field of mechanical and energy technology in contributions prepared by experts from academia and industry. The broad range of topics covered includes aerodynamics and fluid mechanics, artificial intelligence, nonmaterial and nonmanufacturing technologies, rapid manufacturing technologies and prototyping, remanufacturing, renewable energies technologies, metrology and computer-aided inspection, etc. Accordingly, the book offers a valuable resource for researchers in various fields, especially mechanical and industrial engineering, and energy technologies. |
| fraud analysis and prevention in e-commerce transactions: Advances in Fire and Process Safety N. A. Siddiqui, S. M. Tauseef, S. A. Abbasi, Ali S. Rangwala, 2018-01-08 This book presents the proceedings of the International Conference on Health, Safety, Fire, Environment, and Allied Sciences (HSFEA 2016). The book highlights the latest developments in the field of science and technology aimed at improving health and safety in the workplace. The volume comprises content from leading scientists, engineers, and policy makers. The papers included in this volume look at identifying the limitations of the existing approaches and open new avenues for future research. The book also looks at the accident and work-health records, specifically in Asian countries, and discusses measures to improve the Asian standards and implementation issues with regards to workplace health and safety. The contents of this volume will be of interest to researchers, practitioners, and policy makers alike. |
| fraud analysis and prevention in e-commerce transactions: Scams, Cons, Frauds, and Deceptions Sean Byrne, James Byrne, 2024-06-28 This unique volume presents cutting-edge research on the nature and extent of a wide range of scams, cons, frauds, and deceptive activities, including sextortion, the use of ransomware, phishing, identity theft, Ponzi schemes, online shopping fraud, gift card scams, and health care fraud targeting elderly victims. The contributions to this book raise and attempt to answer several intriguing questions: Why have governments in each global region failed to respond more aggressively to these crimes? What can/should the private sector and social media giants be doing? Can the current responses of both governments and the private sector be linked to the public’s ambivalence about how to respond to these forms of offending and victimization? Does a large segment of the public admire individuals who get involved in these activities, in large part due to the positive portrayal of scammers, fraudsters, and con artists in both literature and cinema? Or does the public’s view of the harm caused by these scams and cons vary, based on our view of who is victimized (e.g., individuals or corporations) and/or why they were chosen? Will governments – as they have done in the past – attempt to influence the public’s views by restricting access to books and movies that focus on the latest scams, cons, and frauds taking place on-line and in-person via book banning and other forms of censuring? And finally, should this discussion of the influence of books and cinema on the public’s views of scams, frauds, cons, and deception be broadened to include the government’s ongoing attempts to censure a wide range of books and films that may influence the public’s view of morality—and more recently, the public’s view of our government—due to their content? Timely and thought-provoking, this book will be a key resource for researchers, scholars, and practitioners in criminology and criminal justice, sociology, law, psychology, and social work, while also appealing to interdisciplinary researchers seeking insight into the relationship between positive portrayals of scammers, fraudsters, and con artists in literature and cinema, and the public’s perception of individuals who get involved in these activities. It was originally published as a special issue of Victims & Offenders. |
| fraud analysis and prevention in e-commerce transactions: Theory and Practice of Illegitimate Finance Rafay, Abdul, 2023-09-14 In today's interconnected world, fraud and corruption threaten the integrity of global financial systems, making illicit and illegitimate finance a pressing concern across industries. Editor Abdul Rafay, an esteemed academic scholar in financial crimes, corporate finance, and financial technology, offers the definitive solution to the Theory and Practice of Illegitimate Finance. This premier reference work comprehensively explores all facets of illicit finance, providing invaluable insights and real-world case studies on financial crimes, money laundering, tax evasion, and fraudulent practices. Through meticulous research and analysis, the book equips business owners, policymakers, researchers, and industry professionals with strategies to combat and prevent illicit finance from infiltrating financial institutions and businesses. As an indispensable resource for academicians and students, Theory and Practice of Illegitimate Finance empowers readers to tackle the complexities of illicit finance. Abdul Rafay's unparalleled expertise, evident from his successful editing of previous books and numerous research papers, enhances the book's credibility. By embracing the transformative journey offered by the book's insights, readers from all walks of life can contribute to a more transparent and accountable financial world, ensuring the integrity of global finance systems and paving the way for a brighter and more secure future. |
| fraud analysis and prevention in e-commerce transactions: Practical Data Analytics for BFSI Bharat Sikka, Dr. Priyender Yadav, Dr. Prashant Verma, 2023-09-02 Revolutionizing BFSI with Data Analytics KEY FEATURES ● Real-world examples and exercises will ground you in the practical application of analytics techniques specific to BFSI. ● Master Python for essential coding, SQL for data manipulation, and industry-leading tools like IBM SPSS and Power BI for sophisticated analyses. ● Understand how data-driven strategies generate profits, mitigate risks, and redefine customer support dynamics within the BFSI sphere. DESCRIPTION Are you looking to unlock the transformative potential of data analytics in the dynamic world of Banking, Financial Services, and Insurance (BFSI)? This book is your essential guide to mastering the intricate interplay of data science and analytics that underpins the BFSI landscape. Designed for intermediate-level practitioners, as well as those aspiring to join the ranks of BFSI analytics professionals, this book is your compass in the data-driven realm of banking. Address the unique challenges and opportunities of the BFSI sector using Artificial Intelligence and Machine Learning models for a data driven analysis. This book is a step by step guide to utilize tools like IBM SPSS and Microsoft Power BI. Hands-on examples that utilize Python and SQL programming languages make this an essential guide. The book features numerous case studies that illuminate various use cases of Analytics in BFSI. Each chapter is enriched with practical insights and concludes with a valuable multiple-choice questionnaire, reinforcing understanding and engagement. This book will uncover how these solutions not only pave the way for increased profitability but also navigate risks with precision and elevate customer support to unparalleled heights. WHAT WILL YOU LEARN ● Delve into the world of Data Science, including Artificial Intelligence and Machine Learning, with a focus on their application within BFSI. ● Explore hands-on examples and step-by-step tutorials that provide practical solutions to real-world challenges faced by banking institutions. ● Develop skills in essential programming languages such as Python (fundamentals) and SQL (intermediate), crucial for effective data manipulation and analysis. ● Gain insights into how businesses adapt data-driven strategies to make informed decisions, leading to improved operational efficiency. ● Stay updated on emerging trends, technologies, and innovations shaping the future of data analytics in the BFSI industry. WHO IS THIS BOOK FOR? This book is tailored for professionals already engaged in or seeking roles within Data Analytics in the BFSI industry. Additionally, it serves as a strategic resource for business leaders and upper management, guiding them in shaping data platforms and products within their organizations. The book also serves as a starting point for individuals interested in the BFSI sector. Prior experience with coding tools such as Python, SQL, Power BI is beneficial but not required as it covers all dimensions from the basics. TABLE OF CONTENTS 1. Introduction to BFSI and Data Driven Banking 2. Introduction to Analytics and Data Science 3. Major Areas of Analytics Utilization 4. Understanding Infrastructures behind BFSI for Analytics 5. Data Governance and AI/ML Model Governance in BFSI 6. Domains of BFSI and team planning 7. Customer Demographic Analysis and Customer Segmentation 8. Text Mining and Social Media Analytics 9. Lead Generation Through Analytical Reasoning and Machine Learning 10. Cross Sell and Up Sell of Products through Machine Learning 11. Pricing Optimization 12. Data Envelopment Analysis 13. ATM Cash Forecasting 14. Unstructured Data Analytics 15. Fraud Modelling 16. Detection of Money Laundering and Analysis 17. Credit Risk and Stressed Assets 18. High Performance Architectures: On-Premises and Cloud 19. Growing Trends in the Data-Driven Future of BFSI |
| fraud analysis and prevention in e-commerce transactions: Intelligent Data Engineering and Analytics Vikrant Bhateja, Xin-She Yang, Jerry Chun-Wei Lin, Ranjita Das, 2023-02-23 The book presents the proceedings of the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), held at NIT Mizoram, Aizawl, Mizoram, India during 18 – 19 June 2022. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. These proceedings are divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This volume is a valuable resource for postgraduate students in various engineering disciplines. |
| fraud analysis and prevention in e-commerce transactions: Corporate Fraud Handbook Joseph T. Wells, 2017-05-01 Delve into the mind of a fraudster to beat them at their own game Corporate Fraud Handbook details the many forms of fraud to help you identify red flags and prevent fraud before it occurs. Written by the founder and chairman of the Association of Certified Fraud Examiners (ACFE), this book provides indispensable guidance for auditors, examiners, managers, and criminal investigators: from asset misappropriation, to corruption, to financial statement fraud, the most common schemes are dissected to show you where to look and what to look for. This new fifth edition includes the all-new statistics from the ACFE 2016 Report to the Nations on Occupational Fraud and Abuse, providing a current look at the impact of and trends in fraud. Real-world case studies submitted to the ACFE by actual fraud examiners show how different scenarios play out in practice, to help you build an effective anti-fraud program within your own organization. This systematic examination into the mind of a fraudster is backed by practical guidance for before, during, and after fraud has been committed; you'll learn how to stop various schemes in their tracks, where to find evidence, and how to quantify financial losses after the fact. Fraud continues to be a serious problem for businesses and government agencies, and can manifest in myriad ways. This book walks you through detection, prevention, and aftermath to help you shore up your defenses and effectively manage fraud risk. Understand the most common fraud schemes and identify red flags Learn from illustrative case studies submitted by anti-fraud professionals Ensure compliance with Sarbanes-Oxley and other regulations Develop and implement effective anti-fraud measures at multiple levels Fraud can be committed by anyone at any level—employees, managers, owners, and executives—and no organization is immune. Anti-fraud regulations are continually evolving, but the magnitude of fraud's impact has yet to be fully realized. Corporate Fraud Handbook provides exceptional coverage of schemes and effective defense to help you keep your organization secure. |
| fraud analysis and prevention in e-commerce transactions: Information Technology: New Generations Shahram Latifi, 2016-03-28 This book collects articles presented at the 13th International Conference on Information Technology- New Generations, April, 2016, in Las Vegas, NV USA. It includes over 100 chapters on critical areas of IT including Web Technology, Communications, Security, and Data Mining. |
| fraud analysis and prevention in e-commerce transactions: Digital Transformation Initiatives for Agile Marketing Maravilhas, Sérgio, Ladeira, Rodrigo, 2024-10-16 In the rapidly evolving digital landscape, businesses today face an imperative to adapt and innovate continuously. Digital transformation is at the core of this evolution. It enables organizations to rethink and redesign their operations, processes, and customer interactions. Within this context, marketing has seen a profound shift, with agile methodologies and advanced technologies redefining traditional practices. It is imperative to explore the intersection of these critical areas. Digital Transformation Initiatives for Agile Marketing explores the various aspects of marketing and digital transformation, including how technology is changing the way marketers operate, how businesses can leverage data to improve customer engagement, and the challenges and opportunities that com with implementing digital transformation initiatives. It also discusses new marketing tendencies related to technology, people, and processes. Covering topics such as artificial intelligence, customer experience, and omnichannel marketing, this book is an excellent resource for marketers, business leaders, academicians, researchers, educators, graduate and postgraduate students, and more. |
| fraud analysis and prevention in e-commerce transactions: Handbook of Research on Managing Information Systems in Developing Economies Boateng, Richard, 2020-04-17 Technology provides accessibility otherwise unavailable to the people who can benefit from it the most. As new digital tools become less expensive and more widely available, research and real-world cases that examine the union between emergent countries and information systems are essential in determining the next steps for these nations. The Handbook of Research on Managing Information Systems in Developing Economies is a pivotal reference source that explores the effects of technological data handling within developing economies. Covering a broad range of topics such as emerging digital technologies, socio-economic development, and technology startups, this book is ideally designed for software programmers, policymakers, practitioners, educators, academicians, students, and researchers. |
Fraud detection and prevention in e-commerce: A systematic …
Nov 1, 2022 · E-commerce online transaction flow highlighting where fraud prevention and detection can be applied. Understanding the current literature and trends is essential to identify …
Fraud Analysis and Prevention in e-Commerce Transactions
Oct 24, 2014 · This work aims to apply and evaluate computational intelligence techniques (e.g., Data mining and machine learning) to identify fraud in electronic transactions, more specifically …
Transaction Fraud Prevention in E-Commerce - Liminal
the urgent need for robust transaction fraud prevention solutions to curtail and prevent fraudulent transactions on their platforms. In this report, Liminal conducted a thorough exploration of the …
A Comparative Analysis of Fraud Prevention Techniques in E-Commerce …
Feb 21, 2025 · This paper presents a comparative analysis of various fraud prevention techniques employed by e-commerce platforms, examining their effectiveness in detecting and mitigating …
Fraud Analysis and Prevention in e-Commerce …
In this work we apply and evaluate compu-tational intelligence techniques to identify fraud in electronic transactions, more specifically in credit card operations. In order to evaluate the...
Securing E-Commerce: A Comprehensive Analysis of Fraud …
Apr 23, 2025 · To combat fraudulent transactions, there's a growing need for effective methods. Our primary objective is to comprehensively study various algorithms employed in e-commerce …
Fraud Analysis and Prevention in e-Commerce Transactions
Our results show good performance in fraud detection, presenting gains up to 43 percent of an economic metric, when compared to the actual scenario of the company.
Ecommerce Fraud Prevention: A Complete Guide
Nov 11, 2024 · Explore best practices for fraud prevention in ecommerce to secure transactions, reduce chargebacks, and protect customer data.
Fraud detection and prevention in e-commerce:
Current surveys and reviews on fraud systems focuses mainly on financial-specific domains or general areas, leaving e-commerce aside. In this context, this article presents a systematic …
SECURING E-COMMERCE: AI-POWERED FRAUD …
In this introductory exploration, we delve into the landscape of AI-based fraud detection and prevention in e-commerce, examining the underlying technologies, key challenges, and emerging …
E-commerce Fraud Detection & Prevention for your Business
Mar 21, 2025 · Effective fraud protection strategies help protect not only your revenue, but also your brand reputation and customer trust. This article explores the latest e-commerce fraud …
Ecommerce Fraud Detection & Prevention Best Practices (2024)
Jun 3, 2025 · Ecommerce fraud encompasses a variety of deceptive tactics employed by fraudsters to exploit vulnerabilities in online transactions, posing serious risks such as financial losses, …
E-commerce fraud protection: Detection and prevention in 2025
Mar 5, 2025 · In 2025, global e-commerce fraud is expected to reach unprecedented levels, threatening businesses’ financial stability and consumer trust. The Veriff Fraud Report 2025 …
Use of artificial intelligence in e-commerce fraud detection …
to predict the probability of fraud in e-commerce transactions should involve an AI risk assessment. The AI risk asse. steps, such as pseudonymising or encrypting the personal data where tec.
Fraud Analysis and Prevention in e-Commerce Transactions
Dec 30, 2014 · This work aims to apply and evaluate computational intelligence techniques (e.g., Data mining and machine learning) to identify fraud in electronic transactions, more specifically …
online transaction fraud detection using Deep learning - OpenCV
May 13, 2025 · This isn’t just a minor nuisance; it’s a global crisis. In 2024 alone, consumers reported staggering losses exceeding $12.5 billion due to fraud, a 25% jump from the previous …
Fraud Detection and Prevention in E-Commerce: Machine …
Feb 22, 2025 · Some of the past techniques of detecting fraud do not do well in handling new methods of fraud in the market. The purpose of this research is to understand the offers of the …
Fraud detection and prevention in e-commerce: A systematic …
Nov 1, 2022 · In this context, this article presents a systematic literature review on fraud detection and prevention for e-commerce systems. Our methodology involved searching for articles …
Fraud Detection in Ecommerce Transactions: An Ensemble …
May 13, 2024 · One of the most critical factors that regulators and consumers consider when it comes to assessing the trustworthiness and security of online transactions is the detection of …
E-commerce Fraud Protection: Best Practices for Secure Online …
May 29, 2025 · Implementing effective e-commerce fraud prevention best practices requires a multi-faceted approach that combines technological solutions with robust operational strategies. …
The Role of AI in Fraud Detection: A Comprehensive Guide | Uptech
May 23, 2025 · Network link analysis uncovers organized fraud by mapping connections between accounts, devices, and transaction patterns. Fraud detection solutions for e-commerce. Payment …
Ultimate Guide to Fraud Detection in Online Payments - Tipalti
May 29, 2025 · Real-time vs. post-transaction analysis is essential for fraud prevention in online payments. For effective fraud detection in online payments, your business needs to prevent …
Fraud Analysis and Prevention in e-Commerce Transactions
Oct 22, 2014 · This work aims to apply and evaluate computational intelligence techniques (e.g., Data mining and machine learning) to identify fraud in electronic transactions, more specifically …
Financial sector turns to AI as traditional fraud ... - Devdiscourse
1 day ago · The rapid proliferation of digital financial transactions has made fraud prevention a central challenge for global financial institutions. A new bibliometric study titled “AI and Financial …
Fraud Analysis and Prevention in e-Commerce Transactions
Fraud Analysis and Prevention in e-Commerce Transactions; Article . Free Access. Share on. Fraud Analysis and Prevention in e-Commerce Transactions. Authors: Evandro Caldeira. View Profile, …
Fraud detection and prevention in e-commerce: A systematic …
Nov 1, 2022 · E-commerce online transaction flow highlighting where fraud prevention and detection can be applied. Understanding the current literature and trends is essential to …
Fraud Analysis and Prevention in e-Commerce Transactions
Oct 24, 2014 · This work aims to apply and evaluate computational intelligence techniques (e.g., Data mining and machine learning) to identify fraud in electronic transactions, more specifically …
Transaction Fraud Prevention in E-Commerce - Liminal
the urgent need for robust transaction fraud prevention solutions to curtail and prevent fraudulent transactions on their platforms. In this report, Liminal conducted a thorough exploration of the …
A Comparative Analysis of Fraud Prevention Techniques in E-Commerce ...
Feb 21, 2025 · This paper presents a comparative analysis of various fraud prevention techniques employed by e-commerce platforms, examining their effectiveness in detecting and mitigating …
Fraud Analysis and Prevention in e-Commerce …
In this work we apply and evaluate compu-tational intelligence techniques to identify fraud in electronic transactions, more specifically in credit card operations. In order to evaluate the...
Securing E-Commerce: A Comprehensive Analysis of Fraud …
Apr 23, 2025 · To combat fraudulent transactions, there's a growing need for effective methods. Our primary objective is to comprehensively study various algorithms employed in e …
Fraud Analysis and Prevention in e-Commerce Transactions
Our results show good performance in fraud detection, presenting gains up to 43 percent of an economic metric, when compared to the actual scenario of the company.
Ecommerce Fraud Prevention: A Complete Guide
Nov 11, 2024 · Explore best practices for fraud prevention in ecommerce to secure transactions, reduce chargebacks, and protect customer data.
Fraud detection and prevention in e-commerce:
Current surveys and reviews on fraud systems focuses mainly on financial-specific domains or general areas, leaving e-commerce aside. In this context, this article presents a systematic …
SECURING E-COMMERCE: AI-POWERED FRAUD DETECTION …
In this introductory exploration, we delve into the landscape of AI-based fraud detection and prevention in e-commerce, examining the underlying technologies, key challenges, and …
E-commerce Fraud Detection & Prevention for your Business
Mar 21, 2025 · Effective fraud protection strategies help protect not only your revenue, but also your brand reputation and customer trust. This article explores the latest e-commerce fraud …
Ecommerce Fraud Detection & Prevention Best Practices (2024)
Jun 3, 2025 · Ecommerce fraud encompasses a variety of deceptive tactics employed by fraudsters to exploit vulnerabilities in online transactions, posing serious risks such as financial …
E-commerce fraud protection: Detection and prevention in 2025
Mar 5, 2025 · In 2025, global e-commerce fraud is expected to reach unprecedented levels, threatening businesses’ financial stability and consumer trust. The Veriff Fraud Report 2025 …
Use of artificial intelligence in e-commerce fraud detection …
to predict the probability of fraud in e-commerce transactions should involve an AI risk assessment. The AI risk asse. steps, such as pseudonymising or encrypting the personal data …
Fraud Analysis and Prevention in e-Commerce Transactions
Dec 30, 2014 · This work aims to apply and evaluate computational intelligence techniques (e.g., Data mining and machine learning) to identify fraud in electronic transactions, more specifically …
online transaction fraud detection using Deep learning - OpenCV
May 13, 2025 · This isn’t just a minor nuisance; it’s a global crisis. In 2024 alone, consumers reported staggering losses exceeding $12.5 billion due to fraud, a 25% jump from the previous …
Fraud Detection and Prevention in E-Commerce: Machine …
Feb 22, 2025 · Some of the past techniques of detecting fraud do not do well in handling new methods of fraud in the market. The purpose of this research is to understand the offers of the …
Fraud detection and prevention in e-commerce: A systematic …
Nov 1, 2022 · In this context, this article presents a systematic literature review on fraud detection and prevention for e-commerce systems. Our methodology involved searching for articles …
Fraud Detection in Ecommerce Transactions: An Ensemble …
May 13, 2024 · One of the most critical factors that regulators and consumers consider when it comes to assessing the trustworthiness and security of online transactions is the detection of …
E-commerce Fraud Protection: Best Practices for Secure Online …
May 29, 2025 · Implementing effective e-commerce fraud prevention best practices requires a multi-faceted approach that combines technological solutions with robust operational …
The Role of AI in Fraud Detection: A Comprehensive Guide | Uptech
May 23, 2025 · Network link analysis uncovers organized fraud by mapping connections between accounts, devices, and transaction patterns. Fraud detection solutions for e-commerce. …
Ultimate Guide to Fraud Detection in Online Payments - Tipalti
May 29, 2025 · Real-time vs. post-transaction analysis is essential for fraud prevention in online payments. For effective fraud detection in online payments, your business needs to prevent …
Fraud Analysis and Prevention in e-Commerce Transactions
Oct 22, 2014 · This work aims to apply and evaluate computational intelligence techniques (e.g., Data mining and machine learning) to identify fraud in electronic transactions, more specifically …
Financial sector turns to AI as traditional fraud ... - Devdiscourse
1 day ago · The rapid proliferation of digital financial transactions has made fraud prevention a central challenge for global financial institutions. A new bibliometric study titled “AI and …
Fraud Analysis and Prevention in e-Commerce Transactions
Fraud Analysis and Prevention in e-Commerce Transactions; Article . Free Access. Share on. Fraud Analysis and Prevention in e-Commerce Transactions. Authors: Evandro Caldeira. View …
