Intrusion Detection System Based on Fuzzy Clustering
Xiaojun Wang · Journal of Jiangsu Radio & Television University · 2007
The traditional intrusion detection system(IDS) is limited in the extensibility and the adaptability.The better checking rules can be used in intrusion detection system with fuzzy clustering and an improved fuzzy clustering algorithm SFCM(shift fuzzy C means) is presented.The intrusion detection system FCIDS(fuzzy clustering based intrusion detection system) based on algorithm SFCM is designed and implemented.The correctness and the validity of FCIDS are identified through the experiments for the KDD CUP99 datasets.