Modificated Intrusion Pattern Classification Technique based on Bayesian Network

Cha Byung-Rae; Park Kyoung-Woo; Seo Jae-Hyeon

Modificated Intrusion Pattern Classification Technique based on Bayesian Network

Cha Byung-Rae, Park Kyoung-Woo, Seo Jae-Hyeon, Journal of Internet Computing and Services, Vol. 4, No. 2, pp. 69-0, Apr. 2003
Full Text:

Keywords: Intrusion Pattern Classification, Bayesian Network

Abstract

Program Behavior Intrusion Detection Technique analyses system calls that called by daemon program or root authority, constructs profiles, and detectes modificated anomaly intrusions effectively. In this paper, the relation among system calls of processes is represented by bayesian network and Multiple Sequence Alignment. Program behavior profiling by Bayesian Network classifies modified anomaly intrusion behaviors, and detects anomaly behaviors. we had simulation by proposed normal behavior profiling technique using UNM data.

Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.

Cite this article

[APA Style]

Byung-Rae, C., Kyoung-Woo, P., & Jae-Hyeon, S. (2003). Modificated Intrusion Pattern Classification Technique based on Bayesian Network. Journal of Internet Computing and Services, 4(2), 69-0.

[IEEE Style]

C. Byung-Rae, P. Kyoung-Woo, S. Jae-Hyeon, "Modificated Intrusion Pattern Classification Technique based on Bayesian Network," Journal of Internet Computing and Services, vol. 4, no. 2, pp. 69-0, 2003.

[ACM Style]

Cha Byung-Rae, Park Kyoung-Woo, and Seo Jae-Hyeon. 2003. Modificated Intrusion Pattern Classification Technique based on Bayesian Network. Journal of Internet Computing and Services, 4, 2, (2003), 69-0.