Study of the Information Measurement Model Based on the Dimension of Time State
Zhi Qun-c · National Defense Science & Technology · 2015
The patterns of behavior hidden in the interactive information have put forward new challenges to network security because of a large volume of big data in the cyberspace. The research on how to analyze the network security problems brought by the size of network nodes, information surge and hostility complaint is both the focus and difficulty in network defense. This article describes the information state and takes users behavior into consideration to measure the information changes brought by the interaction nodes in heterogeneous population based on the existing network security framework. The structured framework for dynamic evaluation model based on metrics and information is proposed, which is of great value for maintaining the network information order, guiding the cognitive network environment in a timely manner, and solving the problems of network defense.