Title

Adaptive Critic Designs for Host-Based Intrusion Detection

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.

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.


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