• DocumentCode
    2315757
  • Title

    Intrusion Attack Pattern Analysis and Signature Extraction for Web Services Using Honeypots

  • Author

    Dagdee, Nirmal ; Thakar, Urjita

  • Author_Institution
    Dept. of Comput. Eng., S.D. Bansal Coll. of Technol., Indore
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    1232
  • Lastpage
    1237
  • Abstract
    With the increasing popularity of Web services, attackers are getting attracted to hack the Web services and the servers on which they run. One of the major threats is that of intruders which may maliciously try to access the data or services. Thus there is a need to protect the servers on which Web services are running from intruders. Therefore, intrusion detection systems need to be employed. Signature based IDS are popularly being used. Honeypots are a highly flexible security tool with differing applications for security. They are a security resource that does not have any production or authorized activity but have an important use in intrusion prevention, detection and information gathering. Honeypot collects very little data and what it collects is normally of high value. This information can be used in extraction of intrusion detection signature. In this paper we have proposed a method to analyze the attacks and generate signatures for Web services.
  • Keywords
    Web services; security of data; Web services; honeypots; information gathering; intrusion attack pattern analysis; security tool; signature based intrusion detection systems; signature extraction; Access protocols; Data mining; Data security; Information security; Intrusion detection; Pattern analysis; Protection; Simple object access protocol; Web server; Web services; Honeypots; Intruders; Signatures; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Engineering and Technology, 2008. ICETET '08. First International Conference on
  • Conference_Location
    Nagpur, Maharashtra
  • Print_ISBN
    978-0-7695-3267-7
  • Electronic_ISBN
    978-0-7695-3267-7
  • Type

    conf

  • DOI
    10.1109/ICETET.2008.192
  • Filename
    4580093