• DocumentCode
    3429712
  • Title

    Performance Improvement by Means of Collaboration between Network Intrusion Detection Systems

  • Author

    Hanaoka, Miyuki ; Kono, Kenji ; Hirotsu, Toshio

  • Author_Institution
    Dept. of Inf. & Comput. Sci., Keio Univ., Yokohama
  • fYear
    2009
  • fDate
    11-13 May 2009
  • Firstpage
    262
  • Lastpage
    269
  • Abstract
    Because of today´s increased traffic volume and sophisticated attacks, implementing a network intrusion detection/prevention system (NIDS/NIPS) with a single workstation has been challenging. In this paper, we propose Brownie, a system for improving performance by means of collaboration between already-existing NIDSs, instead of installing one expensive hardware or parallel NIDS at a network entry point. Our Brownie achieves performance improvement by 1) offloading overloaded NIDS, and 2) eliminating redundant rules. First, a Brownie exchanges NIDSs´ load status and transfers some rules from overloaded to light-loaded NIDSs, which prevents the overloaded NIDSs from bottlenecking the network. Second, if some NIDSs in a network path enable the same rules, a Brownie eliminates the redundant rules, which reduces the aggregate overhead of the NIDSs. The experimental results with a university full-packet trace suggest that Brownies successfully offloads overloaded NIDS and eliminates redundant rules.
  • Keywords
    security of data; network intrusion detection systems; network intrusion prevention system; performance improvement; sophisticated attacks; traffic volume; Collaboration; Collaborative work; Communication networks; Computer science; Costs; Electronic mail; Hardware; Intrusion detection; Telecommunication traffic; Workstations; Computer network security; NIDS/NIPS performance; Site security monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Networks and Services Research Conference, 2009. CNSR '09. Seventh Annual
  • Conference_Location
    Moncton, NB
  • Print_ISBN
    978-1-4244-4155-6
  • Electronic_ISBN
    978-0-7695-3649-1
  • Type

    conf

  • DOI
    10.1109/CNSR.2009.48
  • Filename
    4939136