Regular Expression Matching on Graphics Hardware for Intrusion Detection
RAID '09 Proceedings of the 12th International Symposium on Recent Advances in Intrusion Detection
GrAVity: a massively parallel antivirus engine
RAID'10 Proceedings of the 13th international conference on Recent advances in intrusion detection
Experiences with string matching on the fermi architecture
ARCS'11 Proceedings of the 24th international conference on Architecture of computing systems
MIDeA: a multi-parallel intrusion detection architecture
Proceedings of the 18th ACM conference on Computer and communications security
Kargus: a highly-scalable software-based intrusion detection system
Proceedings of the 2012 ACM conference on Computer and communications security
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By the development of network applications, network security issues are getting more and more important. This paper proposes a multiple-pattern matching algorithm for the network intrusion detection systems based on the GPU (Graphics Processing Units). The highly parallelism of the GPU computation power is used to inspect the packet content in parallel. The performance of the proposed approach is analyzed through evaluations such as using various texture formats and different implementations. Experimental results indicate that the performance of the proposed approach is twice of that of the modified Wu-Manber algorithm used in Snort. The proposed approach makes a commodity and cheap GPU card as a high performance pattern matching co-processor.