Name
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. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1109/CSAC.1996.569702 | ACSAC |
Keywords | Field | DocType |
expert system,artificial intelligence,intrusion detection,reasoning approach,significant interest,case-based reasoning,current approach,intrusion detection problem,artificial intelligent,rule based,computer science,case base reasoning,communications technology,case based reasoning,knowledge representation,computer security,algorithm design and analysis,expert systems,face detection,access control,distributed computing,authorisation | Knowledge representation and reasoning,Rule-based system,Computer science,Expert system,Anomaly-based intrusion detection system,Artificial intelligence,Access control,Case-based reasoning,Intrusion detection system,Machine learning,Knowledge acquisition | Conference |
ISBN | Citations | PageRank |
0-8186-7606-X | 18 | 1.21 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Esmaili | 1 | 18 | 1.21 |
| B. Balachandran | 2 | 18 | 1.21 |
| R. Safavi-Naini | 3 | 173 | 17.60 |
| Pieprzyk, J. | 4 | 27 | 2.15 |