Hierarchical Network Security Situation Prediction Based on Belief Rule Base

Qingshuang Hu, Yibiao Fang, Yimeng Li, Chenghai Li, Zilong Wang, Yanqiang Tang, Yu Yang
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Abstract

Aiming at the problem that the existing network security situation prediction (NSSP) can only provide the network situation predicted values but not the specific information such as threat sources, this paper proposes a hierarchical NSSP method and uses the Belief Rule Base (BRB). The hierarchical NSSP method first predicts the development trend of the state of network security elements, and then evaluates the predicted network security elements to obtain the situation predicted value. Through experimental analysis, the hierarchical NSSP method can accurately predict the network security situation and provide more reference information for network security management.
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基于信念规则库的分层网络安全态势预测
针对现有网络安全态势预测(NSSP)只能提供网络态势预测值而不能提供威胁来源等具体信息的问题,提出了一种分层的NSSP方法,并采用了信念规则库(BRB)。分层NSSP方法首先预测网络安全要素状态的发展趋势,然后对预测的网络安全要素进行评估,得到态势预测值。通过实验分析,分层NSSP方法可以准确预测网络安全状况,为网络安全管理提供更多参考信息。
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