Scalable Pattern Matching for High Speed Networks

  • Authors:
  • Christopher R. Clark;David E. Schimmel

  • Affiliations:
  • Georgia Institute of Technology, Atlanta, GA;Georgia Institute of Technology, Atlanta, GA

  • Venue:
  • FCCM '04 Proceedings of the 12th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
  • Year:
  • 2004

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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.