• DocumentCode
    2865721
  • Title

    Behavior-Based Anomaly Detection on the Server Side to Reduce the Effectiveness of Cross Site Scripting Vulnerabilities

  • Author

    Shanmugam, Jayamsakthi ; Ponnavaikko, M.

  • Author_Institution
    SRM Univ., Chennai
  • fYear
    2007
  • fDate
    29-31 Oct. 2007
  • Firstpage
    350
  • Lastpage
    353
  • Abstract
    Cross-site scripting (XSS) is the top most vulnerability in the Web applications as mentioned by research groups. Every day new evasion mechanisms are found by the hackers due to new technology, new HTML tags and script functionalities introduced. Zero-day attacks exploit the vulnerability before the fix could be issued to protect the Web application users. This demands an efficient approach on the server side to protect the users of the application. The proposed behavior based anomaly detection approach introduces a security layer on top of the Web application, so that the existing Web application remain unchanged whenever a new threat is introduced that demands new security mechanisms. Further application level parameters are introduced to reduce the processing time.
  • Keywords
    Internet; security of data; HTML tags; Web applications; behavior-based anomaly detection; cross site scripting vulnerabilities; evasion mechanisms; zero-day attacks; Application software; Authentication; Computer hacking; Data security; Displays; HTML; Information security; Operating systems; Protection; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grid, Third International Conference on
  • Conference_Location
    Shan Xi
  • Print_ISBN
    0-7695-3007-9
  • Electronic_ISBN
    978-0-7695-3007-9
  • Type

    conf

  • DOI
    10.1109/SKG.2007.63
  • Filename
    4438567