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Recently network intrusion detection is one of the hottest research topics. Existing network-based Intrusion Detection System (IDS) has drawbacks in many aspects, among of which the two outstanding problems are the high ratio of false alarms and the lack of self-adaptation. The powerful information processing capabilities of the biological immune system, such as feature extraction, pattern recognition,...
In this paper we analyze network immunity as a bio-inspired approach for detecting anomalies in communication networks. We briefly review the basic methods of artificial immune systems (AIS), identify their strengths and weaknesses, and evaluate their possible applications to intrusion detection in computer networks. After an overview of related work from the area of intrusion detection we collect...
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