A Novel Network Attack Evaluation Scheme Based on AHP Grey Clustering Model

Evaluation of network attacks has been a hot topic in the field of network protection in recent years. However, recent evaluation methods have some problems in consistency, subjectivity and comprehensiveness. In order to solve the above problems, in this paper, we propose a network attack evaluation scheme (NAE-AHPGC), which is based on the AHP (Analytic Hierarchy Process) technology and grey clustering model, to comprehensively evaluate the multi-layer and multi-index network attack with multiple attack styles and complex indicators. Firstly, our NAE-AHPGC scheme combines the AHP technology and grey clustering model to realize reliable, consistent and objective evaluation for network attack. Secondly, in our NAE-AHPGC scheme, we propose a more effective network attack classification and indicator settings. Finally, we demonstrate the effectiveness of our NAE-AHPGC scheme through experiments.