Intrusion Detection Algorithm Based on Hybrid Genetic Clustering
Yongguo Liu · Jisuanji gongcheng · 2006
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.