Feature and boundary tuning for threat detection in industrial asset control system
Abstract:
According to some embodiments, a threat detection model creation computer may receive a series of normal monitoring node values (representing normal operation of the industrial asset control system) and generate a set of normal feature vectors. The threat detection model creation computer may also receive a series of threatened monitoring node values (representing a threatened operation of the industrial asset control system) and generate a set of threatened feature vectors. At least one potential decision boundary for a threat detection model may be calculated based on the set of normal feature vectors, the set of threatened feature vectors, and an initial algorithm parameter. A performance of the at least one potential decision boundary may be evaluated based on a performance metric. The initial algorithm parameter may then be tuned based on a result of the evaluation, and the at least one potential decision boundary may be re-calculated.
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