Application of Fuzzy Neural Networks to Intrusion Detection
Zhi Li · Mini-micro Systems · 2002
Most current intrusion detection systems for misuse detection lack the ability to detect even slight variations of known attacks and novel attacks,while IDSs based on anomaly detection not only have higher false positive,but also are foiled by attacker who slowly changes his or her behavior.The application of fuzzy neural networks to intrusion detection and new approach based on process behavior can availably slove above problems ,improve the performs of system and reduce rate of false positive and false negative.