Adaptive Critic Designs for Host-Based Intrusion Detection
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.
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 http://dx.doi.org/10.1109/IJCNN.2002.1007777
2002 International Joint Conference on Neural Networks (IJCNN '02) (2002: May 12-17, Honolulu, HI)
Electrical and Computer Engineering
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2002 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.