DocumentCode :
2582210
Title :
A Fast and Configurable Pattern Matching Hardware Architecture for Intrusion Detection
Author :
Liu, Yizhen ; Xu, Daxiong ; Liu, Dong ; Sun, Lingge
Author_Institution :
Opt. Commun. & Optoelectron. Inst., Beijing Univ. of Posts & Commun., Beijing
fYear :
2009
fDate :
23-25 Jan. 2009
Firstpage :
614
Lastpage :
618
Abstract :
The current hardware architectures of intrusion detection system have several limitations on performance and configurability. In this paper we describe the architecture design and hardware implementation of gigabits NIDS using a programmable network processor and a FPGA co-processor. We discuss the requirements of NIDS, system hardware architecture and report measurements. In particular, we demonstrate performance improved by optimized parallel pattern match processing and efficient memory access in field programmable gate array (FPGA). We show an NIDS which can exploit our approach hardware platform, and make suggestions about implementation features that can significantly improve the performance and configurability of intrusion detection systems.
Keywords :
coprocessors; field programmable gate arrays; network-on-chip; parallel algorithms; pattern matching; security of data; telecommunication security; FPGA co-processor; configurable pattern matching hardware architecture; field programmable gate array; gigabit NIDS; intrusion detection system; memory access; optimized parallel pattern matching algorithm; programmable network processor; Coprocessors; Data mining; Field programmable gate arrays; Hardware; Inspection; Intrusion detection; Logic; Pattern matching; Telecommunication traffic; Web and internet services; FPGA; intrusion detection; network processor; pattern match; string match;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3543-2
Type :
conf
DOI :
10.1109/WKDD.2009.111
Filename :
4772012
Link To Document :
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