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Methods and systems for predicting attack vectors in computer networks

机译:预测计算机网络中攻击向量的方法和系统

摘要

PROBLEM TO BE SOLVED: To predict an accurate and efficient attack route in a computer network. An attack vector prediction system has static and dynamic data associated with a source node attacked in a computer network and one or more associated with one or more target nodes reachable from the source node. Receive static and dynamic risk attributes for vulnerabilities. Likelihood scores are based on static and dynamic risk attributes and are associated with one or more vulnerabilities associated with a source node and one or more associated with one or more target nodes. Calculated for each vulnerability. In addition, the predicted score is calculated for each of the one or more vulnerabilities associated with the target node, based on the corresponding likelihood score and static and dynamic risk attributes. Then, based on the predicted score, the attack vector between the source node and one or more target nodes is predicted. [Selection diagram] Fig. 1
机译:要解决的问题:预测计算机网络中准确而有效的攻击路径。一种攻击向量预测系统具有与在计算机网络中受到攻击的源节点相关联的静态和动态数据,以及与从源节点可到达的一个或多个目标节点相关联的一个或多个数据。接收漏洞的静态和动态风险属性。可能性评分基于静态和动态风险属性,并且与与源节点关联的一个或多个漏洞以及与一个或多个目标节点关联的一个或多个漏洞关联。为每个漏洞计算。另外,基于对应的似然度得分以及静态和动态风险属性,为与目标节点关联的一个或多个漏洞中的每个漏洞计算预测得分。然后,基于预测分数,预测源节点与一个或多个目标节点之间的攻击向量。 [选择图]图1

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