• DocumentCode
    2041032
  • Title

    Scalable pattern matching for high speed networks

  • Author

    Clark, Christopher R. ; Schimmel, David E.

  • Author_Institution
    Sch. of Electr. &comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2004
  • fDate
    20-23 April 2004
  • Firstpage
    249
  • Lastpage
    257
  • Abstract
    In this paper, we present a scalable FPGA design methodology for searching network packet payloads for a large number of patterns, including complex regular expressions. The efficiency of the technique enables a current-generation FPGA device to support pattern-matching at network rates from 1 Gbps to 100 Gbps and beyond. It offers flexible trade-offs between character capacity, throughput, and data bus width and rate. This allows the approach to be used in a wide range of devices from low-end home network appliances to high-end backbone routers. Suitable network applications for the FPGA pattern-matcher include firewalls, network intrusion detection, email virus scanning, and junk-email identification. In this work, we use a standard set of patterns from an intrusion detection system to demonstrate the performance and scalability of our design with a real-world application.
  • Keywords
    computer networks; computer viruses; field programmable gate arrays; logic design; pattern matching; security of data; 1 to 100 Gbit/s; FPGA design method; FPGA pattern matcher; backbone routers; complex regular expressions; email virus scanning; firewalls; flexible trade offs; high speed networks; home network appliances; junk email identification; network intrusion detection; scalable pattern matching; searching network packet payloads; Design methodology; Field programmable gate arrays; High-speed networks; Home appliances; Home automation; Intrusion detection; Pattern matching; Payloads; Spine; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Field-Programmable Custom Computing Machines, 2004. FCCM 2004. 12th Annual IEEE Symposium on
  • Print_ISBN
    0-7695-2230-0
  • Type

    conf

  • DOI
    10.1109/FCCM.2004.50
  • Filename
    1364635