• DocumentCode
    2508138
  • Title

    Analysis and Study on Detection of Credict Fraud in E-Commerce

  • Author

    Deng, Kaiyong ; Zhang, Ru ; Zhang, Dongfang ; Jiang, WenFeng ; Niu, Xinxin ; Guo, Hong

  • Author_Institution
    Key Lab. of Network & Inf. Attack & Defence Technol. of MOE, Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2011
  • fDate
    18-19 June 2011
  • Firstpage
    12
  • Lastpage
    15
  • Abstract
    An algorithm of applying Bedford´s law to detect credit fraud in e-commerce is proposed in the paper and the feasibility is studied. The weakness of the algorithm for detecting financial fraud via Benford correlation coefficients is analyzed and a new detection method for e-commerce fraud defined as credit algorithm based on Bedford´s law is established, providing better performance of reliability and precision.
  • Keywords
    credit transactions; electronic commerce; financial data processing; fraud; Bedford´s law; credict fraud detection; e-commerce; financial fraud detection; Algorithm design and analysis; Business; Correlation; Equations; Indexes; Marketing and sales; Security; Bedford´s Law; credit algorithm; credit fraud; detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Computer Sciences and Application (ICFCSA), 2011 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4577-0317-1
  • Type

    conf

  • DOI
    10.1109/ICFCSA.2011.10
  • Filename
    5968015