Title :
Deep Packet Inspection Research Based on Hardware Acceleration
Author :
Guo Lei ; Wang Yadi ; Zhu Ke
Abstract :
This article studied on the line-speed Deep Packet Inspection, analyzing and studying the multi-pattern matching algorithm. Based on the reasonable grouping and storage for patterns, proposing a multi-pattern matching algorithm based on TCAM acceleration. Performance analyzing showed that, the algorithm had lower cost than the other algorithm based on hardware, and made the use of the advantages of TCAM. It could satisfy the line-speed demand in the real-time multi-pattern matching inspection.
Keywords :
computer network performance evaluation; computer network security; content-addressable storage; pattern matching; TCAM acceleration; content security testing; hardware acceleration; intrusion detection; line-speed deep packet inspection research; multipattern matching algorithm; network security applications; protocol identification; real-time multipattern matching inspection; safety warning; ternary content-addressable memory; Algorithm design and analysis; Field programmable gate arrays; Hardware; Inspection; Pattern matching; Pipeline processing; Random access memory; DPI; Multi-pattern matching; TCAM;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.527
