Title :
Sequential pattern discovery for Intrusion Detection System
Author :
Wang, Min-Feng ; Wu, Yen-Ching ; Tsai, Meng-Feng ; Tang, Cheng-Hsien
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Jhongli, Taiwan
Abstract :
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.
Keywords :
data mining; security of data; tree data structures; dynamic system security; intrusion detection system; intrusive event; malicious attack; sequential pattern discovery; sequential pattern mining; system call sequence; weighted suffix tree structure; Computational modeling; Computers; Data mining; Engines; Intrusion detection; Monitoring;
Conference_Titel :
Communications and Information Technologies (ISCIT), 2010 International Symposium on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4244-7007-5
Electronic_ISBN :
978-1-4244-7009-9
DOI :
10.1109/ISCIT.2010.5664887
