DocumentCode
1685727
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
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1720
Lastpage
1725
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1007777
Filename
1007777
Link To Document