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Host based Anomaly Detection using Fuzzy Genetic Approach (FGA)
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 74 - Number 20 |
| Year of Publication: 2013 |
| Authors: Harjinder Kaur, Nivit Gill |
10.5120/13024-0026
|
Harjinder Kaur, Nivit Gill . Host based Anomaly Detection using Fuzzy Genetic Approach (FGA). International Journal of Computer Applications. 74, 20 ( July 2013), 5-9. DOI=10.5120/13024-0026
Abstract
Intrusion is a fast growing security threat to the computers which fails the security of the system. The researchers have proposed number of techniques such as firewall, encryption etc. to prevent such penetration and protect the systems. With all these measures also, the intruders managed to penetrate the computers. Intrusion detection systems (IDS) monitor the resources of the computer, detect the malicious/suspicious activity either on a single machine or on the network which is different from the legitimate user activity and send the reports of such activity. The paper proposes to detect anomalous user behavior on a single machine based on the system log files using fuzzy logic and genetic algorithms.
References
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