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基于隐马尔科夫模型的网络安全风险评估方法
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TP309

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国家自然科学基金(61271152);国家社会科学基金(15GJ003-184)


Network Security Risk Assessment Method Based on Hidden Markov Model
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    摘要:

    为了能实时准确地评估网络安全风险,提出一种基于隐马尔科夫模型的网络安全风险评估方法。该方法基于隐马尔科夫模型对目标网络进行建模,通过节点的直接风险和相关性引起的间接风险来量化节点的安全风险;考虑节点在网络中的重要性程度,结合节点安全风险,量化目标网络的整体安全风险。通过实验对所提方法进行验证。实验结果表明:该方法能够对由节点相关性和节点重要性程度所带来的网络安全风险进行量化,使得网络安全风险评估结果更加准确、可信。与传统的网络安全风险评估方法相比,该方法能够更加及时地发现网络中的异常风险变化情况,为网络安全防御策略的及时调整提供依据。

    Abstract:

    A new network security risk assessment method based on hidden Markov model is proposed in order to accurately assess the network security risk in real time. The method is based on Hidden Markov model to model the target network. The security risk of node is quantified by direct risk and indirect risk caused by correlation of the node. Considering the importance of nodes in the network, the overall security risk of the target network is quantified on the basis of node security risk. The experimental results show that the method can quantify the network security risk caused by the correlation and importance of the node, which makes the network security risk assessment results more accurate and credible. Compared with traditional network security risk assessment methods, this method can detect abnormal risk changes in the work more timely ,which can provide the basis for the timely adjustment of the network security defense strategy.

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王增光, 卢昱, 赵东昊.基于隐马尔科夫模型的网络安全风险评估方法[J].空军工程大学学报,2019,20(3):71-76

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  • 在线发布日期: 2019-07-04
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