A spatial correlation-based hybrid method for intrusion detection

摘要

In order to solve the problem of low intrusion detection rate and weak generalization ability of Intrusion Detection System (IDS), it proposes a new hybrid method based on the relationship of feature and spatial correlation for IDS. The proposed IDS reduces the dimension of network data flow by spatial correlation-based dimension reduction method (SCDR). It improves the effectiveness of intrusion detection, and the negative feedback learning method can also improve the generalization ability of IDS. Experiments show that the method in this paper can improve the detection rate notably and also enhance the detection ability of unknown attacks.