The 1999 DARPA off-line intrusion detection evaluation
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue on recent advances in intrusion detection systems
Intrusion Detection: A Bioinformatics Approach
ACSAC '03 Proceedings of the 19th Annual Computer Security Applications Conference
Time and area efficient pattern matching on FPGAs
FPGA '04 Proceedings of the 2004 ACM/SIGDA 12th international symposium on Field programmable gate arrays
FPGA Based Network Intrusion Detection using Content Addressable Memories
FCCM '04 Proceedings of the 12th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Behavioral distance for intrusion detection
RAID'05 Proceedings of the 8th international conference on Recent Advances in Intrusion Detection
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The genetic material that encodes the unique characteristics of each individual such as gender, eye color, and other human features is the well-known DNA. In this work, we introduce an anomaly intrusion detection system, built on the notion of a DNA sequence or gene, which is responsible for the normal network traffic patterns. Subsequently, the system detects suspicious activities by searching the "normal behavior DNA sequence" through string matching. On the other hand, string matching is a computationally intensive task and can be converted into a potential bottleneck without high-speed processing. Furthermore, conventional software-implemented string matching algorithms have not kept pace with the ever increasing network speeds. As a result, we adopt a monitoring phase that is hardware-implemented with the intention that DNA pattern matching is performed at wire-speed. Finally, we provide the details of our FPGA implementation of the bioinformatics-based string matching technique.