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
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;
Conference_Titel :
Computer Security Applications Conference, 1996., 12th Annual
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-7606-X
DOI :
10.1109/CSAC.1996.569702
