Patent ID: 11880464
Assignee: GENERAL ELECTRIC COMPANY
Field: Computer technology (Electrical engineering)
Classification: CPC G  H  Y | IPC G

Claim 9:
10. A computer-implemented method comprising:
receiving a first data value of a plurality of data values from a data store, wherein the first data value is from a digital twin model of an industrial asset;
determining, via a vulnerability module, whether the received at least one data value is a near boundary case or not a near boundary case, wherein a near boundary case is a data value that is within a near boundary value of an initial decision boundary;
in a case it is determined the first data value is a near boundary case,
generating one or more adversarial samples for the first data value;
inputting each of the one or more adversarial samples to the digital twin model;
executing the digital twin model to output a system response for each input adversarial sample;
determining whether the system response to each input adversarial sample has a negative impact;
in a case it is determined the system response has a negative impact for a given input adversarial sample, updating a trained attack detection neural network with the given input adversarial sample; and
generating a second decision boundary based on the updated attack detection model.