• DocumentCode
    3343454
  • Title

    Applying semantic web and user behavior analysis to enforce the intrusion detection system

  • Author

    Chan, Y.-T.F. ; Shoniregun, C.A. ; Akmayeva, G.A. ; Al-Dahoud, A.

  • Author_Institution
    Wessex Inst. of Technol., Ashurst, UK
  • fYear
    2009
  • fDate
    9-12 Nov. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The Web Service has been extended to the back-end database. In this paper, we propose a novel method of user behavior analysis in semantic network. We use the weight value to analyze and record user behavior and then check user behavior record with the signatures which are generated by the Intrusion Detection System (IDS). If a user record matches with signatures, the system will pass the record to the Analysis Console for Intrusion Database (ACID) to do more the further processing and then response to user. The ACID does not only help the system administrator to maintain and protect the web service in order to prevent the intruders´ attacking but also show the security information. In the current Internet, it is a very complex and insecure environment. Everything can be happened in this environment. In our solution, it can not only successfully solve the Cross-Site Scripting (XSS) attack and SQL Injection attack but also understand user behavior. In the future work, we can use user behavior information to design securer Web service.
  • Keywords
    Internet; SQL; security of data; semantic Web; Internet; SQL injection attack; analysis console for intrusion database; back-end database; cross-site scripting attack; intrusion detection system; semantic Web; semantic network; user behavior analysis; Application software; Computer hacking; Data security; Databases; HTML; Information security; Intrusion detection; Protection; Semantic Web; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology and Secured Transactions, 2009. ICITST 2009. International Conference for
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-5647-5
  • Type

    conf

  • DOI
    10.1109/ICITST.2009.5402616
  • Filename
    5402616