| Publisher | World Academy of Science, Engineering and Technology | ||
|---|---|---|---|
| Format | 496.5KB PDF | Date added | 06 Jun 2005 |
| Topics | Network Security, Security Tools, Intrusion Detection Systems | ||
| Downloads | 49 | ||
Intrusion Detection Systems are increasingly a key part of systems defense. Various approaches to Intrusion Detection are currently being used, but they are relatively ineffective. Artificial Intelligence plays a driving role in security services. This paper proposes a dynamic model Intelligent Intrusion Detection System, based on specific AI approach for intrusion detection. The techniques that are being investigated includes neural networks and fuzzy logic with network profiling, that uses simple data mining techniques to process the network data. The proposed system is a hybrid system that combines anomaly, misuse and host based detection. Simple Fuzzy rules allow to construct if-then rules that reflect common ways of describing security attacks.
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