Research on the Network Information Security Evaluation Model and Algorithm Based on Grey Relational Clustering Analysis

Abstract

Network information security is controlled by various factors, so its evaluation is a complicated system engineering. In response to the complexity and uncertainty of such factors, we carry out a research on network information security evaluation and propose an evaluation model and algorithm based on grey relational clustering analysis. A comprehensive analysis is made concerning the influencing factors of network information security to establish an evaluation index system for network information security. Furthermore, ideal domains of various security levels are established through normalization of different evaluation indexes, hence calculating the grey relational coefficient and grade between target object and such ideal domains. As a result, we determine the category of network information security level. Finally, a practical case demonstrates that the proposed model is feasible and operable.