Multi-stage intrusion detection system using hidden Markov model algorithm

  • Lee, Do-Hyeon
  • Kim, Doo-Young
  • Jung, Jaeil
Citations

SCOPUS

30

초록

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.

키워드

Computer architectureComputer crimeHidden Markov modelsNetwork architectureAudit dataHidden markov modeling algorithmsIntrusion detection system architecturesIntrusion Detection SystemsMulti stageNetwork attackSingle stageSystem protectionIntrusion detection
제목
Multi-stage intrusion detection system using hidden Markov model algorithm
저자
Lee, Do-HyeonKim, Doo-YoungJung, Jaeil
DOI
10.1109/ICISS.2008.22
발행일
2008-01
유형
Conference Paper
저널명
Proceedings of the International Conference on Information Science and Security, ICISS 2008
페이지
72 ~ 77