商品描述
This book explores deep learning as a next-generation approach to online payment fraud detection in the face of increasingly complex and adaptive threats. Traditional rule-based or shallow learning methods are no longer sufficient. Through ten focused chapters, this book tackles challenges such as behavioral modeling, spatiotemporal anomaly detection, class imbalance, behavior drift, and graph-based inference. It applies advanced neural architectures including LSTM, GRU, GANs, GNNs, and spatiotemporal transformers. With a problem-driven structure, each chapter links real-world fraud problems to tailored neural solutions, validated on large-scale transaction data. This book blends theory, practical design, and empirical rigor, offering researchers and practitioners a foundation for scalable, adaptive, and reliable fraud detection systems.
商品描述(中文翻譯)
本書探討深度學習作為應對日益複雜和自適應威脅的下一代線上支付詐騙檢測方法。傳統的基於規則或淺層學習方法已不再足夠。透過十個專注的章節，本書解決了行為建模、時空異常檢測、類別不平衡、行為漂移和基於圖的推斷等挑戰。它應用了包括 LSTM、GRU、GANs、GNNs 和時空變壓器等先進的神經架構。以問題驅動的結構，每個章節將現實世界的詐騙問題與量身定制的神經解決方案相連結，並在大規模交易數據上進行驗證。本書融合了理論、實踐設計和實證嚴謹性，為研究人員和實務工作者提供了可擴展、自適應和可靠的詐騙檢測系統的基礎。
作者簡介
1. Yu Xie Yu Xie received the B.S. degree in information security from Qingdao University in 2017 and the Ph.D. degree in computer software and theory from Tongji University in 2022. He is now a lecturer at the College of Information Engineering, Shanghai Maritime University. With a solid academic background in data science and cybersecurity, his recent research has focused on the application of machine learning and deep learning techniques in financial transaction systems. He has contributed to several projects involving online payment security, real-time fraud detection, and risk analysis. His experience in both academic research and practical implementations positions him well to address the technical and theoretical aspects of fraud detection using neural networks. 2. Yue Tian Yue Tian received the Ph.D. degree in computer science and technology from Tongji University, Shanghai, China, in 2025. She is currently a lecturer with the Department of Computer Science and Technology, Shanghai Normal University. Her research interests include credit card fraud detection, graph neural networks, machine learning, and Explainable AI. 3. Jiamin Yao Jiamin Yao received the B.S. degree in software engineering from the China University of Petroleum, Qingdao, China, in 2017, the M.S. degree in software engineering from China University of Petroleum, Qingdao, China, in 2020, and the Ph.D. degree in computer software and theory from Tongji University, Shanghai, China, in 2024. She is now a lecturer at the College of Information Engineering, Shanghai Maritime University. Her primary research interests lie in software-defined networks (SDN), resource management, and deep reinforcement learning. She focuses on designing intelligent, adaptive systems, and optimization algorithms for complex and dynamic environments. 4. Guanjun Liu Guanjun Liu received the Ph.D. degree in Computer Software and Theory from Tongji University, China, in 2011. Dr. Liu was a Post-doctoral Research Fellow with the Singapore University of Technology and Design, Singapore, from 2011 to 2013, and a Post-doctoral Research Fellow with the Humboldt University of Berlin, Germany, from 2013 to 2014, supported by the Alexander von Humboldt Foundation. He is a professor at the School of Computer Science and Technology, Tongji University. He has authored 5 books and more than 160 papers. His research interests include trustworthy computing and trustworthy artificial intelligence.
作者簡介(中文翻譯)
1. 謝宇
謝宇於2017年獲得青島大學資訊安全學士學位，並於2022年獲得同濟大學計算機軟體與理論博士學位。目前他是上海海事大學資訊工程學院的講師。憑藉在數據科學和網絡安全方面的扎實學術背景，他最近的研究專注於機器學習和深度學習技術在金融交易系統中的應用。他參與了多個涉及線上支付安全、即時詐騙檢測和風險分析的項目。他在學術研究和實際應用方面的經驗使他能夠有效地解決使用神經網絡進行詐騙檢測的技術和理論問題。
2. 田月
田月於2025年獲得中國上海同濟大學計算機科學與技術博士學位。她目前是上海師範大學計算機科學與技術系的講師。她的研究興趣包括信用卡詐騙檢測、圖神經網絡、機器學習和可解釋的人工智慧。
3. 姚佳敏
姚佳敏於2017年獲得中國石油大學（青島）軟體工程學士學位，於2020年獲得中國石油大學（青島）軟體工程碩士學位，並於2024年獲得中國上海同濟大學計算機軟體與理論博士學位。目前她是上海海事大學資訊工程學院的講師。她的主要研究興趣在於軟體定義網絡（SDN）、資源管理和深度強化學習。她專注於設計智能、自適應系統和針對複雜動態環境的優化算法。
4. 劉冠軍
劉冠軍於2011年獲得中國同濟大學計算機軟體與理論博士學位。劉博士於2011年至2013年擔任新加坡科技設計大學的博士後研究員，並於2013年至2014年擔任德國柏林洪堡大學的博士後研究員，該研究由亞歷山大·馮·洪堡基金會支持。他是同濟大學計算機科學與技術學院的教授，已出版5本書籍和超過160篇論文。他的研究興趣包括可信計算和可信人工智慧。
