• DocumentCode
    3404354
  • Title

    PhishCatch - A Phishing Detection Tool

  • Author

    Yu, Weider D. ; Nargundkar, Shruti ; Tiruthani, Nagapriya

  • Author_Institution
    Comput. Eng. Dept., San Jose State Univ., San Jose, CA, USA
  • Volume
    2
  • fYear
    2009
  • fDate
    20-24 July 2009
  • Firstpage
    451
  • Lastpage
    456
  • Abstract
    Phishing has become the most popular practice among the criminals of the Web. Phishing attacks are becoming more frequent and sophisticated. The impact of phishing is drastic and significant since it can involve the risk of identity theft and financial losses. This paper explains the most popular methods used for phishing and the PhishCatch algorithm developed to detect phishing. The PhishCatch algorithm is a heuristic based algorithm which will detect phishing emails and alert the users about the phishing emails. The phishing filters and rules in the algorithm are formulated after extensive research of phishing methodologies and tactics. After testing, we determined that PhishCatch algorithm has a catch rate of 80% and an accuracy of 99%. The approach used in developing this algorithm, the implementation details and testing results are discussed in this paper.
  • Keywords
    computer crime; information filters; software tools; unsolicited e-mail; heuristic based algorithm; phishcatch algorithm; phishing detection tool; phishing email detection; phishing filter; Application software; Computer applications; Computer crime; Credit cards; Filters; Heuristic algorithms; Silicon; Software tools; Testing; USA Councils; Network security; PhishCatch; e-mail attacks; hyperlink; phishing attacks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference, 2009. COMPSAC '09. 33rd Annual IEEE International
  • Conference_Location
    Seattle, WA
  • ISSN
    0730-3157
  • Print_ISBN
    978-0-7695-3726-9
  • Type

    conf

  • DOI
    10.1109/COMPSAC.2009.175
  • Filename
    5254068