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A fast clustering algorithm based on foregone samples for mixed data (FCABFS) in network anomaly detections technology is proposed in this paper. Original clustering center is exactly obtained by FCABFS through training foregone samples; Clustering center and non- similarity is calculated by separating objects. This algorithm solved problem of the higher false positive rate and the lower detection...
A method of optimization and simplification to network feature using Artificial Fish-swarm Algorithm in intrusion detection is proposed in this paper for solving problems of more features and slower computing speed. This method established mathematic model aimed at achieving higher detection rate and lower false positive rate, and obtaining optimal feature attributes through iterative method by using...
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