Abstract: This paper proposes a new detection algorithm, the intrusion detection based on hybrid genetic clustering (IDBHGC) algorithm. It can automatically implement the whole procedure including establishment of the set of original clusters, combinatorial optimization and intrusion activities detection. Computer simulations show that this algorithm further improves the detection ability for intrusion detection

Key words: Intrusion detection; Clustering; Genetic algorithms; Tabu search

摘要： 提出了基于混合遗传聚类的入侵检测算法——IDBHGC，它能自动完成初始聚类簇集合建立、组合优化和入侵行为标识的整个检测过程。实验证明，该算法在已有研究基础上进一步提高了检测性能。

关键词: 入侵检测；聚类；遗传算法；禁忌搜索