Investigation of Fuzzy Adaptive Resonance Theory in Network Anomaly Intrusion Detection
作者： Nawa Ngamwitthayanon , Naruemon Wattanapongsakorn , David W. Coit
DOI: 10.1007/978-3-642-01510-6_24
关键词:
摘要: The effectiveness of Fuzzy-Adaptive Resonance Theory (Fuzzy-ART or F-ART) is investigated for a Network Anomaly Intrusion Detection (NAID) application. F-ART able to group similar data instances into clusters. Furthermore, an online clustering algorithm that can learn and update its knowledge based on the presence new existing We investigate one shot fast learning option network anomaly detection KDD CUP '99 evaluation set found robustness such problems along with response capability be applied provide real-time system.
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