Evaluating Indicator Weights for Satellite Internet Security Assessment: an Approach to Combining Rough Set with Fuzzy Hierarchical Analysis

In order to reduce the impact of increasingly sophisticated cyberattacks on the satellite Internet security, it is necessary to assess the satellite Internet security. Most of existing assessment schemes for network security risk mainly rely on expert knowledge to subjectively weight assessment indicator and quantify security risks, thus leading to results of assessment which are not objective. To address this problem, combining rough set with fuzzy hierarchy analysis, we propose a combination scheme to evaluate the indicator weights for assessing the satellite Internet security. First, from the perspective of IPDR model, we propose IPDR-based evaluation indicator system, and fuzzy hierarchy analysis is designed to fuse the indicator scores of more than one experts into one final value and obtain the subjective weight. Second, rough set theory is adopted to reduce indicators and correct the subjective weight obtained in the first step, thus obtaining the comprehensive weight. Finally, a series of experiments are carried out to validate our scheme.