DocumentCode
2272599
Title
Case-based reasoning for intrusion detection
Author
Esmaili, Mansour ; Balachandran, Bala ; Safavi-Naini, Rei ; Pieprzyk, Josef
Author_Institution
Dept. of Comput. Sci., Wollongong Univ., NSW, Australia
fYear
1996
fDate
9-13 Dec 1996
Firstpage
214
Lastpage
223
Abstract
Recently there has been significant interest in applying artificial intelligence (AI) techniques to the intrusion detection problem. Attempts have been made to develop rule based and model based expert systems for intrusion detection. Although these systems have been useful for detecting intruders, they face difficulties in acquiring and representing the knowledge. We present and describe a case based reasoning approach to intrusion detection which alleviates some of the difficulties of current approaches
Keywords
access control; authorisation; case-based reasoning; computer installation; knowledge acquisition; knowledge representation; artificial intelligence; case based reasoning approach; intrusion detection; model based expert systems; Algorithm design and analysis; Artificial intelligence; Communication system security; Communications technology; Computer science; Computer security; Distributed computing; Expert systems; Face detection; Intrusion detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Security Applications Conference, 1996., 12th Annual
Conference_Location
San Diego, CA
ISSN
1063-9527
Print_ISBN
0-8186-7606-X
Type
conf
DOI
10.1109/CSAC.1996.569702
Filename
569702
Link To Document