DocumentCode
1575901
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
fYear
2010
Firstpage
470
Lastpage
474
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ISCIT.2010.5664887
Filename
5664887
Link To Document