Fraud Detection and Prevention in Smart Card Based Environments Using Artificial Intelligence

  • Authors:
  • Wael William Malek;Keith Mayes;Kostas Markantonakis

  • Affiliations:
  • Royal Holloway, University of London Egham, United Kingdom TW20 0EX;Royal Holloway, University of London Egham, United Kingdom TW20 0EX;Royal Holloway, University of London Egham, United Kingdom TW20 0EX

  • Venue:
  • CARDIS '08 Proceedings of the 8th IFIP WG 8.8/11.2 international conference on Smart Card Research and Advanced Applications
  • Year:
  • 2008

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Abstract

This paper discusses the development and research for the detection of fraud in Smart-Card environments by using artificial intelligence. The current research deals with behaviour based detection engine, which will detect abnormalities by learning the usual behaviour of the user and detecting new unusual behaviours. The behaviour-based detection engines is based on `Neural Networks'. This work considers the feasibility of implementing `Neural Network' fraud engine on a Smart card platforms.