Review on Anomaly based IDS using GA |
Author(s): |
| Dipika G Narsingyani , LJIET; Prof Ompriya Kale, LJIET |
Keywords: |
| Genetic Algoritham; Anomaly Intrusion Detection; Machine Learning; False Positive,Features Selection |
Abstract |
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While information systems are becoming backbone of any organizations, security of information systems are critical issue. Intrusion detection systems are one of the principal components of any information security system. Identification of anomalous activity in computer network is first step in identifying the threat to information system. In this paper we provide analytical review of different efforts in developing anomaly detection in intrusion detection. Our focus is mainly on GA based anomaly detection technique, as GA is one of the most effective evolutionary techniques for machine learning. We also identify limitations of each techniques and scope of improvement in each. |
Other Details |
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Paper ID: IJSRDV2I10123 Published in: Volume : 2, Issue : 10 Publication Date: 01/01/2015 Page(s): 320-323 |
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