基于时间状态维的信息度量模型研究

Study of the Information Measurement Model Based on the Dimension of Time State

网络空间中大数据海量汇聚,交互信息中隐藏的行为模式已对网络安全提出了全新挑战。如何分析网络节点规模、信息激增和恶意威胁等带来的网络安全问题,已成为当前网络防御的重要研究内容。文章从已有网络安全框架基础上,着重考虑终端用户行为模式,通过描述信息状态,增加时间状态维来度量异构群体中节点交互所带来的信息变化,建立了基于结构化的动态评估框架和信息度量模型,对于维护网络信息秩序,适时引导网络认知环境,有效解决网络防御有关问题具有重大指导意义。

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.