A fuzzy forecast method for network security situation based on Markov
G. Kuang, Xiaofeng Wang, LiRu Yin · 2012
At present, network security attacks are numerous. Traditional single defense equipment and testing equipment are unable to meet the requirements of network security under the new circumstances. Therefore, the research on network security situation has become a hot topic in the field of network security. To enhance the accuracy and time effectiveness of the network security situation forecast, a fuzzy prediction method of network security situation based on Markov is proposed in this paper. The method is based on the Markov state transition matrix that depicts the correlation of network security and predicts the security status. By introducing the vulnerability information to build the membership degree of fuzzy security situation for the security status and integrating improved Zadeh formula, the prediction value of the network security situation is obtained. Finally, the effectiveness of the method is shown by the experiment results on KDD CUP99 data and DARPA2000 data.