reviewJournal Of Big DataJan 14, 2025GOLD OA

A systematic review of AI-enhanced techniques in credit card fraud detection

IYIbrahim Y. HafezAYAhmed Y. HafezAMAhmed M. Shamsan SalehAAAmr A. Abd El-MageedAAAmr A. Abohany

Egypt-Japan University of Science and Technology · Damanhour University · +2 more institutions

Indexed incrossrefdoaj

Abstract

Abstract The rapid increase of fraud attacks on banking systems, financial institutions, and even credit card holders demonstrate the high demand for enhanced fraud detection (FD) systems for these attacks. This paper provides a systematic review of enhanced techniques using Artificial Intelligence (AI), machine learning (ML), deep learning (DL), and meta-heuristic optimization (MHO) algorithms for credit card fraud detection (CCFD). Carefully selected recent research papers have been investigated to examine the effectiveness of these AI-integrated approaches in recognizing a wide range of fraud attacks. These AI techniques were evaluated and compared to discover the advantages and disadvantages of each one,…

Citation impact

69
total citations
FWCI
129.24
Percentile
100%
References
82
Citations per year

Authors

5

Topics & keywords

Topics
Keywords
  • Credit card fraud
  • Computer science
  • Credit card
  • Computational Science and Engineering
  • Computer security
  • Data science
  • Machine learning
  • World Wide Web
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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