• DocumentCode
    2981047
  • Title

    A novel Phishing classification based on URL features

  • Author

    Khonji, Mahmoud ; Jones, Andrew ; Iraqi, Youssef

  • Author_Institution
    Khalifa Univ. of Sci., Technol. & Res. (KUSTAR), Sharjah, United Arab Emirates
  • fYear
    2011
  • fDate
    19-22 Feb. 2011
  • Firstpage
    221
  • Lastpage
    224
  • Abstract
    Phishing is the process of illicitly obtaining data through social engineering via electronic communication channels. As reported by the Anti-Phishing Working Group (APWG), Phishing attacks are growing in volume and sophistication. As a result, the need to improve Phishing detection methods increases. We introduce a simple and novel Phishing classification feature that aims toward supplementing existing classifiers by detecting a subset of Phishing attacks.
  • Keywords
    computer crime; unsolicited e-mail; Anti-Phishing Working Group; URL features; electronic communication channels; phishing classification feature; phishing detection methods; social engineering; Delay; Electronic mail; Feature extraction; Heuristic algorithms; IP networks; Internet; Proposals; Phishing; URL; classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    GCC Conference and Exhibition (GCC), 2011 IEEE
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-61284-118-2
  • Type

    conf

  • DOI
    10.1109/IEEEGCC.2011.5752505
  • Filename
    5752505