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Sequential pattern discovery for Intrusion Detection System

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4 Author(s)
Min-Feng Wang ; Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Jhongli, Taiwan ; Yen-Ching Wu ; Meng-Feng Tsai ; Cheng-Hsien Tang

Intrusion Detection System (IDS) is the key technology to ensure the security of dynamic systems. We employ a sequential pattern mining approach to discover significant system call sequences to prevent malicious attacks. To reduce the computing time of generating meaningful rules, we design a weighted suffix tree structure to detect intrusive events on the fly. The experimental results show our method can substantially enhance the accuracy and efficiency of IDS.

Published in:
Communications and Information Technologies (ISCIT), 2010 International Symposium on

Date of Conference: 26-29 Oct. 2010

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