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MALICIOUS ENTERPRISE BEHAVIOR DETECTION TOOL

机译:恶意企业行为检测工具

摘要

Embodiments of the present disclosure provide systems, methods, and non-transitory computer storage media for identifying malicious enterprise behaviors within a large enterprise. At a high level, embodiments of the present disclosure identify sub-graphs of behaviors within an enterprise based on probabilistic and deterministic methods. For example, starting with the node or edge having the highest risk score, embodiments of the present disclosure iteratively crawl a list of neighbors associated with the nodes or edges to identify subsets of behaviors within an enterprise that indicate potentially malicious activity based on the risk scores of each connected node and edge. In another example, embodiments select a target node and traverse the connected nodes via edges until a root-cause condition is met. Based on the traversal, a sub-graph is identified indicating a malicious execution path of traversed nodes with associated insights indicating the meaning or activity of the node.
机译:本公开的实施例提供了用于识别大型企业内的恶意企业行为的系统,方法和非暂时性计算机存储介质。 在高级,本公开的实施例识别基于概率和确定方法的企业内的行为的子图。 例如,从具有最高风险评分的节点或边缘开始,本公开的实施例迭代地抓取与节点或边缘相关联的邻居列表,以识别基于风险分数的企业内的行为的子集 每个连接的节点和边缘。 在另一示例中,实施例选择目标节点并通过边缘遍历连接的节点,直到满足根本原因条件。 基于遍历,识别子图,指示遍历节点的恶意执行路径,其中具有指示节点的含义或活动的相关洞察。

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