Using data fusion for awareness of intrusion in large-scale network

Network security situation awareness is a hot research realm in the area of network security, which helps security analysts to solve the challenges they encounter. This paper presents the network characteristic attributes to describe the state of large-scale network; Then the fusion algorithm deal with statistical info, the experimental result has shown the algorithm can meet the large-scale network information processing need. An anomaly detection model based on the multi-feature similarity in large-scale network is proposed in this paper.