网络舆情与威胁评估的模糊贝叶斯网络模型研究

J. Fang, Jianming Huang, Ming Liu
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引用次数: 0

摘要

本课题以网络信息安全研究为基础,以舆情监测预警研究为切入点,针对网络舆情变化的复杂性和多样性,特别是网络信息的不确定性和模糊性,构建了模糊贝叶斯网络模型,有效解决舆情态势和威胁评估问题。研究结果可以将多种网络舆情特征因素综合起来,对不同的时间片特征因素进行修正,从而可以准确地跟踪网络舆情形势和威胁的发展变化,提高舆情监测和预警的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Research on Fuzzy Bayesian Network Model for the Network Public Opinion Situation and Threat Assessment
In this paper, The project is based on the network information security research foundation, to the public opinion surveillance and early warning research as the breakthrough point, in view of the network public opinion situation change of complexity and diversity, especially the network information uncertainty and fuzziness, constructs a fuzzy Bayesian network model to solve the public opinion situation and threat assessment effectively. The research results can be a variety of network public opinion characteristics factors synthetically, the different time slice characteristic factors are modified, which can accurately track the network public opinion situation and threat of development and change, improve public opinion monitoring and early warning of quality.
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