• DocumentCode
    3232293
  • Title

    Security Analysis for Internet Banking Models

  • Author

    Dandash, Osama ; Phu Dung Le ; Srinivasan, Bala

  • Author_Institution
    Monash Univ., Clayton
  • Volume
    3
  • fYear
    2007
  • fDate
    July 30 2007-Aug. 1 2007
  • Firstpage
    1141
  • Lastpage
    1146
  • Abstract
    Internet banking fraud can be performed internally by genuine staff or externally by customers or suppliers. This paper presents a security analysis of the proposed Internet banking model compared with that of the current existing models used in fraudulent Internet payments detection and prevention. Several modern models in preventing and detecting fraud are evolving and being applied to many banking systems. However, they have no effective detection mechanism to identify legitimate users and trace their unlawful activities. Also they are not secure enough to prevent fraudulent users from performing fraudulent transactions over the Internet. The proposed model facilitates Internet banking fraud detection and prevention (FDP) by applying two new secure mechanisms, dynamic key generation (DKG) and group key (GK).
  • Keywords
    Internet; banking; fraud; security of data; Internet banking; dynamic key generation; fraudulent Internet payments detection; fraudulent Internet payments prevention; group key; security analysis; Artificial intelligence; Artificial neural networks; Banking; Cryptography; IP networks; Internet; Machine learning algorithms; Performance analysis; Security; Software engineering; Dynamic Key and Group Key mechanisms.; Fraud; Internet banking; Secure model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-2909-7
  • Type

    conf

  • DOI
    10.1109/SNPD.2007.532
  • Filename
    4288021