This paper put forward a new piece of intrusion detection algorithm which combines dynamic clonal selection and immune network.
提出了一种动态克隆选择算法和免疫网络相结合的新入侵检测算法。
On the aspect of network intrusion detection algorithm, the thesis studies the misuse detection algorithm and anomaly detection algorithm.
在网络入侵检测算法方面，本文对异常和误用检测算法进行了研究。
The intrusion detection algorithm combining with LZW and Bayesian MARS algorithm performs steadily with various data, which is practicable and feasible.
LZW算法与贝叶斯mars相结合的入侵检测算法，对各种数据表现稳定，具有一定可行性和实用性。
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