Research of intrusion detection based on fuzzy window hidden Markov model
基于模糊滑窗隐马尔可夫模型的入侵检测研究

To improve detection accuracy, a new intrusion detection method with high efficiency was presented, which was based on Fuzzy Window Hidden Markov Model (FWHMM). The method improves detection accuracy by setting window of dependence between states and increases the self-adjustability and becomes lustier by changing the probability into the fuzzy random variable value. Experimental results show that the proposed method improves the detection accuracy more than the traditional HMM based method.