Network Security White Papers
An Adaptively Evolving Intrusion Detection System Using Pattern Recognition Techniques
Overview With networking technology evolving so rapidly, computer security has been receiving a lot of attention in the recent years. Conventional intrusion detection methods in the field of computer security are anomaly detection and misuse detection - the former suffers from high false alarm rates while the latter lacks generalization capabilities and cannot detect new attack types. Pattern recognition techniques can strike a fine balance in this trade off. The goal of this paper is to use pattern recognition techniques to develop a computer network intrusion detection system that adaptively evolves with changing network conditions.
| Publisher | Carnegie Mellon University | File Format | |
|---|---|---|---|
| Date Published | December 2005 | ||
| Format | White Papers | ||
| Topics | |||
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