Quantitative situational awareness algorithm of land state network based on neutral statistics (Retracted Article)
Quantitative situational awareness algorithm of land state network based on neutral statistics (Retracted Article)
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DOI：
10.1007/s12652-020-02827-w
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发表时间：
2021-01-03
影响因子：
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通讯作者：
Liu, Hongqing
中科院分区：
文献类型：
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作者：
Liu, Hongqing
为了改善传统算法准确率低的问题，提出了一种基于中性统计的定量土地状态网络态势感知算法。根据中性统计感知算法的定义，从攻击事件和安全漏洞感知、安全态势建模和关联威胁评估等角度构建了陆地状态网络空间态势定量感知模型。确定恶意节点，分析状态函数，设计定量感知过程。从仿真结果可以看出，本文提出的方法能够完全适应各种信息处理工作，具有计算复杂度低、评估时间短、评估精度高的优点，且算法态势量化与实际值基本一致，误差也小于0. 1，具有较好的实际应用效果。
In order to improve the low accuracy of the traditional algorithm, a quantitative land state network situation awareness algorithm based on neutral statistics is proposed. According to the definition of neutral statistical awareness algorithm, the quantitative awareness model of land state cyberspace situation is constructed from the perspectives of attack event and security vulnerability awareness, security situation modeling and associated threat assessment. Determine the malicious nodes, analyze the state function, and design a quantitative perception process. From the simulation results, we can see that the method proposed in this paper can fully adapt to various information processing work, and has the advantages of low computational complexity, short evaluation time, high evaluation accuracy, and the algorithm situation quantitative is basically consistent with the actual value, the error is also less than 0.1, which has good practical application effect.