Binary Information Press
Aims at the problems such as higher computational cost and lower detection accuracy for the small-scale attacks in the PCA attack detection algorithm, the concept of time concentrated characteristic is introduced into the attack detection. A normal cloud model and time concentrated characteristic based approach to measure the suspicious ratings is proposed. On the basis of that, an improved PCA attack detection algorithm based on normal cloud model is presented. The experimental results show that the proposed algorithm can not only improve the detection precision but ensure the recall of detection algorithm as well.