Research on the Network Anomaly Detection and Tracking Information Methodology based on Cellular Automata
暂无分享,去创建一个
In this paper, we conduct theoretical research and analysis on the network anomaly detection and tracking information methodology based on cellular automata. Intrusion detection is a computer network and monitoring system to discovery of violation of security policy events. Intrusion detection system will work in the c omputer network key nodes in the salt system, through the real-time collection and analysis the information in the computer network or system. Our method is proved to be feasible and robust, in the near future, we will conduct more related research.
[1] Francesco Palmieri,et al. A distributed approach to network anomaly detection based on independent component analysis , 2014, Concurr. Comput. Pract. Exp..
[2] Tao Zhang,et al. Bridging the Gap of Network Management and Anomaly Detection through Interactive Visualization , 2014, 2014 IEEE Pacific Visualization Symposium.