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In Chap. 1, we provide a high-level analysis of the evolution of online fraudulent transactions, the limitations of traditional OPFD systems, and the potential of deep learning in financial security. Building on this foundation, this chapter offers a systematic review of the foundational concepts and operational characteristics of online payment transactions, identifies the core challenges faced by OPFD, and introduces the deep learning model framework that will be used throughout the book. In addition, this chapter discusses commonly used evaluation metrics and assessment strategies in OPFD, establishing a unified methodological basis for model design, experimental comparison, and performance analysis in the subsequent chapters.

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Foundations of Online Payment Fraud Detection and Deep Learning Models

  • 章节

  • 发表日期：

    2026年

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  • Yu Xie,
  • Yue Tian,
  • Jiamin Yao,
  • Guanjun Liu

摘要

In Chap. 1, we provide a high-level analysis of the evolution of online fraudulent transactions, the limitations of traditional OPFD systems, and the potential of deep learning in financial security. Building on this foundation, this chapter offers a systematic review of the foundational concepts and operational characteristics of online payment transactions, identifies the core challenges faced by OPFD, and introduces the deep learning model framework that will be used throughout the book. In addition, this chapter discusses commonly used evaluation metrics and assessment strategies in OPFD, establishing a unified methodological basis for model design, experimental comparison, and performance analysis in the subsequent chapters.