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CLUSTER-BASED DECISION BOUNDARIES FOR THREAT DETECTION IN INDUSTRIAL ASSET CONTROL SYSTEM

机译:工业资产控制系统中基于群决策的威胁检测决策边界

摘要

According to some embodiments, a threat detection model creation computer may receive a series of monitoring node values (representing normal and/or threatened operation of the industrial asset control system) and generate a set of normal feature vectors. The threat detection model creation computer may identify a first cluster and a second cluster in the set of feature vectors. The threat detection model creation computer may then automatically determine a plurality of cluster-based decision boundaries for a threat detection model. For example, a first potential cluster-based decision boundary for the threat detection model may be automatically calculated based on the first cluster in the set of feature vectors. Similarly, the threat detection model creation computer may also automatically calculate a second potential cluster-based decision boundary for the threat detection model based on the second cluster in the set of feature vectors.
机译:根据一些实施例,威胁检测模型创建计算机可以接收一系列监视节点值(代表工业资产控制系统的正常和/或受威胁的操作)并生成一组正常特征向量。威胁检测模型创建计算机可以识别特征向量集合中的第一群集和第二群集。然后,威胁检测模型创建计算机可以自动确定威胁检测模型的多个基于群集的决策边界。例如,可以基于特征向量集合中的第一聚类自动计算威胁检测模型的基于第一潜在聚类的决策边界。类似地,威胁检测模型创建计算机还可以基于特征向量集合中的第二聚类,自动为威胁检测模型计算基于第二潜在聚类的决策边界。

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