Network security risk assessment based on association rules
Xiaorong Cheng, Yan Wei, Xin Geng · 2009
With the rapid development of computer network, the network is confronting a growing number of threats. Therefore, it is very important to assess the risks for the network information system. This paper draws data mining technology based on association rules into the field of risk assessment, demonstrating a network security risk assessment model based on association rules. The model mines data from history vulnerability database to discover association rules of vulnerabilities, and it is applied on risk assessment of vulnerabilities. In addition, the paper shows a multidimensional association rule mining algorithm based on improved Apriori, and it is proved that it is available by the experimental results.