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Multi-stage intrusion detection system using hidden Markov model algorithm

Authors
Lee, Do-HyeonKim, Doo-YoungJung, Jaeil
Issue Date
Jan-2008
Publisher
IEEE Computer Society
Citation
Proceedings of the International Conference on Information Science and Security, ICISS 2008, pp.72 - 77
Indexed
SCOPUS
Journal Title
Proceedings of the International Conference on Information Science and Security, ICISS 2008
Start Page
72
End Page
77
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/179066
DOI
10.1109/ICISS.2008.22
ISSN
0000-0000
Abstract
Intrusion detection systems are the basis of system protection from network attacks. However, intrusions are increasingly taking multi-stage procedures to attack a system, and cannot be detected by existing single stage intrusion detection systems. This paper proposes a multi-stage intrusion detection system architecture using Hidden Markov Model Algorithm. This system considers every stage used by recent intrusions and applies them to the Hidden Markov Model algorithm to determine which intrusion is used in the audit data. This architecture reduces overheads of intrusion agents and raises efficiency of the whole system.
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