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Network Security Situation Assessment Model Based on Extended Hidden Markov

机译:基于扩展隐马尔可夫的网络安全态势评估模型

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摘要

A network security situation assessment system based on the extended hidden Markov model is designed in this paper. Firstly, the standard hidden Markov model is expanded from five-tuple to seven-tuple, and two parameters of network defense efficiency and risk loss vector are added so that the model can describe network security situation more completely. Then, an initial algorithm of state transition matrix was defined, observation vectors were extracted from the fusion of various system security detection data, the network state transition matrix was created and modified by the observation vectors, and a solution procedure of the hidden state probability distribution sequence based on extended hidden Markov model was derived. Finally, a method of calculating risk loss vector according to the international definition was designed and the current network risk value was calculated by the hidden state probability distribution; then the global security situation was assessed. The experiment showed that the model satisfied practical applications and the assessment result is accurate and effective.
机译:该文设计了一种基于扩展隐马尔可夫模型的网络安全态势评估系统。首先,将标准隐马尔可夫模型从5元组扩展为7元组,并增加网络防御效率和风险损失向量两个参数,使模型能够更完整地描述网络安全态势;然后,定义状态转移矩阵的初始算法,从各种系统安全检测数据的融合中提取观测向量,利用观测向量创建并修改网络状态转移矩阵,推导基于扩展隐马尔可夫模型的隐态概率分布序列求解过程。最后,设计了一种根据国际定义计算风险损失向量的方法,并通过隐藏状态概率分布计算当前网络风险值;然后评估了全球安全形势。实验表明,该模型满足实际应用需求,评估结果准确有效。

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