• DocumentCode
    3240903
  • Title

    Artificial Dendritic Cells Algorithm for Online Break-In Fraud Detection

  • Author

    Huang, R. ; Tawfik, H. ; Nagar, A.K.

  • Author_Institution
    Deanery of Bus. & Comput. Sci., Liverpool Hope Univ., Liverpool, UK
  • fYear
    2009
  • fDate
    14-16 Dec. 2009
  • Firstpage
    181
  • Lastpage
    189
  • Abstract
    An Artificial Immune System based on Dendritic Cells is recently established and has been applied in a number of applications in computer security. The main goal of this paper is to apply Dendritic Cells Algorithm to detect the online break-in fraud for an Online Video on Demand System. Sensitivity analysis for parameters gave different versions of DCA, including different DCs, antigen multiplier, antigen receptors, and migration threshold are presented in the paper. The results not only suggest the DCA is applicable to fraud detection, but also when compared with NSA, DCA shown compromising accuracy with high detection rate, low false alarm and handle high dimensional data set better.
  • Keywords
    artificial immune systems; computer network security; electronic commerce; fraud; sensitivity analysis; video on demand; antigen multiplier; antigen receptors; artificial Dendritic cells algorithm; artificial immune system; computer security; migration threshold; online break-in fraud detection; online video on demand system; sensitivity analysis; Application software; Artificial immune systems; Computer security; Distributed control; Sensitivity analysis; Video on demand; Artificial Dendritic Cells Algorithm; Break-in; Danger Theory; Fraud Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Developments in eSystems Engineering (DESE), 2009 Second International Conference on
  • Conference_Location
    Abu Dhabi
  • Print_ISBN
    978-1-4244-5401-3
  • Electronic_ISBN
    978-1-4244-5402-0
  • Type

    conf

  • DOI
    10.1109/DeSE.2009.59
  • Filename
    5395108