Adaptive Critic Designs for Host-Based Intrusion Detection

Author

Timothy Draelos
David Duggan
Michael Collins
Donald C. Wunsch, Missouri University of Science and TechnologyFollow

Abstract

We explore adaptive critic designs for host-based intrusion detection because of their utilization of reinforcement learning, which allows learning exploits that are difficult to pinpoint in sensor data. Results on Solaris Basic Security Module audit data demonstrate an ability to learn to distinguish between clean and exploit data.

Recommended Citation

T. Draelos et al., "Adaptive Critic Designs for Host-Based Intrusion Detection," Proceedings of the International Joint Conference on Neural Networks, vol. 2, pp. 1720 - 1725, Institute of Electrical and Electronics Engineers (IEEE), Jan 2002.

The definitive version is available at https://doi.org/10.1109/IJCNN.2002.1007777

Meeting Name

2002 International Joint Conference on Neural Networks (IJCNN '02) (2002: May 12-17, Honolulu, HI)

Department(s)

Electrical and Computer Engineering

International Standard Serial Number (ISSN)

1098-7576

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2002 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jan 2002