• DocumentCode
    2593871
  • Title

    Traffic-Aware Frequent Elements Matching Algorithms for Deep Packet Inspection

  • Author

    Kefu, Xu ; Li, Guo ; Jianlong, Tan ; Ping, Liu

  • Author_Institution
    Nat. Eng. Lab. for Inf. Security Technol., Chinese Acad. of Sci., Beijing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    24-25 April 2010
  • Firstpage
    93
  • Lastpage
    96
  • Abstract
    Network devices are increasingly using packet content for processing incoming or outgoing packets. Many pattern matching algorithms have been proposed to improve packet matching throughput. Most of them are, however, independent of traffic pattern and may end up with longer match time against actual traffic. We present novel algorithms that utilize traffic characteristics coupled with frequent elements pattern matching to obtain high throughput. The algorithms modified and expanded the current matching procedure and data structure of classical pattern matching algorithms. The presented pattern matching algorithms, using the traffic-aware frequent elements and the dynamic pattern matching algorithms to adaptive to the traffic, have performance advantage with the true dynamic network traffic.
  • Keywords
    data structures; pattern matching; traffic engineering computing; data structure; deep packet inspection; dynamic pattern matching algorithms; traffic pattern; traffic-aware frequent elements matching algorithms; Heuristic algorithms; Information security; Inspection; Internet; National security; Pattern matching; Payloads; Telecommunication traffic; Throughput; Wireless communication; deep packet inspection; frequent elements matching; high-speed network; traffic-aware;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks Security Wireless Communications and Trusted Computing (NSWCTC), 2010 Second International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-4011-5
  • Electronic_ISBN
    978-1-4244-6598-9
  • Type

    conf

  • DOI
    10.1109/NSWCTC.2010.158
  • Filename
    5480589