• DocumentCode
    688483
  • Title

    Ontology and specification-based intrusion detection and prevention system

  • Author

    Garg, Shelly ; Garg, Adesh ; Kandpal, Ankita ; Joshi, Kishor ; Chauhan, Rashmi ; Goudar, R.H.

  • Author_Institution
    Dept. of Inf. Technol., Graphic Era Univ., Dehradun, India
  • fYear
    2013
  • fDate
    26-27 Sept. 2013
  • Firstpage
    154
  • Lastpage
    159
  • Abstract
    Nowadays Intrusion Detection systems plays very important role in Network security. With the growing use of internet, the possibility of being attacked is also increasing. People are using signature based IDS´s and all other type of IDS´s which are basically used to detect intrusion and as well as prevent the systems from them in all aspects. The advantages of using knowledge management techniques in information security have been already identified by some researchers, however, little has been done to enable security technologies with them Detecting the attacks as well as maintaining a secured environment in the network by having a complete knowledge about the system and detecting attacks using a signature based technique would helps us to deploy the same for our future use. In this technique, we have used Snort (a signature based detection tool and created ontology for DoS attacks to help in prevention techniques.
  • Keywords
    Internet; computer network security; digital signatures; knowledge management; ontologies (artificial intelligence); DoS attacks; Internet; Snort detection tool; information security; knowledge management techniques; network security; ontology; prevention system; signature based IDS; specification-based intrusion detection; Intrusion Detection system (IDS); Protégé; SIPp; Session initiation protocol (SIP); Snort;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Confluence 2013: The Next Generation Information Technology Summit (4th International Conference)
  • Conference_Location
    Noida
  • Electronic_ISBN
    978-1-84919-846-2
  • Type

    conf

  • DOI
    10.1049/cp.2013.2310
  • Filename
    6832325