基于动态贝叶斯网络的复杂网络攻击方法研究

发布时间：2018-06-17 05:14

本文选题：网络攻击 + 动态贝叶斯网络　；参考：《计算机工程与应用》2017年11期

【摘要】：在制定网络攻击策略时,目标网络信息存在不确定性,攻击方缺乏综合、可靠、实时的攻击依据,难以达到攻击效果,为此提出一种科学的复杂网络攻击方法。对网络攻击中攻击方收益、损耗、代价和遇到的风险进行分析,建立指标体系,利用动态贝叶斯网络对网络节点的攻击效果进行综合评估,克服了传统节点重要度评估方法依靠网络拓扑单一指标或者对目标节点进行静态评估的缺点。仿真实验表明该方法在攻击时综合了更多节点关系和观测信息,避免了依靠静态评估手段实施攻击时实际攻击效果与理论期望的差距,同时在攻击精度上更加准确,攻击效能更高。
[Abstract]:When formulating the network attack strategy, the target network information is uncertain, and the attacking party lacks the comprehensive, reliable and real-time attack basis, so it is difficult to achieve the attack effect. Therefore, a scientific and complex network attack method is proposed. This paper analyzes the gains, losses, costs and risks encountered in network attacks, establishes an index system, and evaluates the attacking effect of network nodes by using dynamic Bayesian networks. It overcomes the disadvantage of traditional evaluation method of node importance which depends on single index of network topology or static evaluation of target node. The simulation results show that the method integrates more node relations and observation information, avoids the gap between the actual attack effect and the theoretical expectation when the attack is carried out by static evaluation method, and at the same time, it is more accurate in attacking precision. Attack is more effective.
【作者单位】：山西大学商务学院;
【基金】：山西省科技厅软科学课题(No.2015041002-1)
【分类号】：O157.5

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