Exploiting frequent episodes in weighted suffix tree to improve intrusion detection system

Min Feng Wang, Yen Ching Wu, Meng Feng Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

In this paper we proposed a weighted suffix tree and find out it can improve the Intrusion Detection System (IDS). We firstly focus on the analysis of computer kernel system call, and discover some meaningful information from the unorganized system call sequences. We design a weighted suffix tree algorithm which derives from the concept of suffix tree algorithm for string matching, which then allows to mine the frequent episodes in order to get ordered frequent patterns. We therefore apply these rules to detect malicious attacks, and it shows our IDS still has a good ability to detect intrusion when we use fewer rules.

Original languageEnglish
Title of host publicationProceedings - 22nd International Conference on Advanced Information Networking and Applications Workshops/Symposia, AINA 2008
Pages1246-1252
Number of pages7
DOIs
StatePublished - 2008
Event22nd International Conference on Advanced Information Networking and Applications Workshops/Symposia, AINA 2008 - Gino-wan, Okinawa, Japan
Duration: 25 Mar 200828 Mar 2008

Publication series

NameProceedings - International Conference on Advanced Information Networking and Applications, AINA
ISSN (Print)1550-445X

Conference

Conference22nd International Conference on Advanced Information Networking and Applications Workshops/Symposia, AINA 2008
Country/TerritoryJapan
CityGino-wan, Okinawa
Period25/03/0828/03/08

Fingerprint

Dive into the research topics of 'Exploiting frequent episodes in weighted suffix tree to improve intrusion detection system'. Together they form a unique fingerprint.

Cite this