文献类型：会议论文

英文题名：Evaluation of Node Importance Based on Information Theory in Cyber-Physical System

作者：Chen, Zi Hao[1];Xu, Chen Ming[1];Hao, Shan Feng[1];Sun, Ying Ji[1];Wang, Yu Qing[1];Shao, Fang Ming[1]

机构：[1]East China Univ Sci & Technol, Shanghai, Peoples R China

会议论文集：International Conference on Computer Systems, Electronics and Control (ICCSEC)

会议日期：DEC 25-27, 2017

会议地点：Dalian, PEOPLES R CHINA

语种：英文

外文关键词：Cascading failures; interdependent networks; information theory; information gain; node importance

摘要：The Cyber-physical system (CPS) will soon become the basic technology of contemporary industry, which consists of two interacting networks where the cyber network overlays the physical network. Due to the high interdependence, the CPS are more fragile in general when facing attacks. In order to avoid the occurrence of catastrophic accidents while taking into account the cost of construction, it is critical to find and protect key nodes whose failure will lead to serious cascading failures. In this paper, we present a way to evaluate the node importance in CPS based on information theory, where node states are treated as discrete random variables, and their importance is interpreted as the information gain. After research, we find that self-information of a node state can reflect its ability to influence the whole system. In particular, the result of this method is affected by the probability of attacking nodes, which helps to assess the node importance in different scenarios and environments.