Title :
Adaptive critic designs for host-based intrusion detection
Author :
Draelos, Timothy ; Duggan, David ; Collins, Michael ; Wunsch, Donald
Author_Institution :
Sandia Nat. Labs., Albuquerque, NM, USA
fDate :
6/24/1905 12:00:00 AM
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
Keywords :
learning (artificial intelligence); neural nets; safety systems; Solaris basic security module audit; adaptive critic designs; host-based intrusion detection; reinforcement learning; sensor data; Computer networks; Computer security; Data security; Databases; Information security; Intrusion detection; Laboratories; Learning; National security; Protection;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1007777
