• DocumentCode
    3014596
  • Title

    BSnort IPS Better Snort Intrusion Detection / Prevention System

  • Author

    Padmashani, R. ; Sathyadevan, Shiju ; Dath, D.

  • Author_Institution
    Dept. of CSE, Amrita Vishwa Vidyapeetham, Kollam, India
  • fYear
    2012
  • fDate
    27-29 Nov. 2012
  • Firstpage
    46
  • Lastpage
    51
  • Abstract
    With the advent of a range of intrusion detection and prevention systems out in the market and Snort IPS standing out from others, always there have been efforts to improve upon the current scenario. Here, a novel technique that can curb many of the current Denial-of-Service attacks which usually disrupts the network connectivity by consuming a large amount of bandwidth is discussed. The Better Snort Intrusion Detection/Prevention System (BSnort) uses Aho-Corasick automaton for the deep packet inspection and makes use of the modified Snort signatures which utilizes minimum amount of CPU and memory. The BSnort stands out from other Network Intrusion Detection Systems (NIDSs) in its integrated use of anomaly detection approach to find out novel attacks using the packet header along with the use of known attack signatures for the payload to pin-point intrusions.
  • Keywords
    computer network security; Aho-Corasick automaton; BSnort IPS; Denial-of-Service attacks; NIDS; anomaly detection approach; better snort intrusion detection-prevention system; modified Snort signatures; network connectivity; network intrusion detection systems; packet header; packet inspection; pin-point intrusions; Conferences; Decision support systems; Intelligent systems; BSnort; Boyer-Moore; Hping; Signatures; Snort;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications (ISDA), 2012 12th International Conference on
  • Conference_Location
    Kochi
  • ISSN
    2164-7143
  • Print_ISBN
    978-1-4673-5117-1
  • Type

    conf

  • DOI
    10.1109/ISDA.2012.6416511
  • Filename
    6416511