Invention Grant
- Patent Title: High-fidelity model-driven deception platform for cyber-physical systems
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Application No.: US17684873Application Date: 2022-03-02
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Publication No.: US11843634B2Publication Date: 2023-12-12
- Inventor: Thomas W. Edgar , Draguna L Vrabie , William J. Hofer , Kathleen E. Nowak
- Applicant: BATTELLE MEMORIAL INSTITUTE
- Applicant Address: US WA Richland
- Assignee: Battelle Memorial Institute
- Current Assignee: Battelle Memorial Institute
- Current Assignee Address: US WA Richland
- Agency: Colby Nipper PLLC
- Main IPC: H04L29/06
- IPC: H04L29/06 ; H04L9/40 ; G06N3/08 ; G06N3/044

Abstract:
Methods are described for protecting a cyber-physical system against a potential attacker of the system. The methods include a method of generating a plurality of examples for a training data set and training a system model using the training data set to generate a decoy configured to generate a synthetic output that mimics historical outputs generated by the system for a given historical system context. Also described is a method including receiving a system context of a cyber-physical system; receiving an inquiry into the system by a potential attacker; applying a system model to the system context and the inquiry; obtaining from the system model a synthetic output that mimics how a component of the system would respond to the inquiry given the system context; and providing the synthetic output to the potential attacker.
Public/Granted literature
- US20220191246A1 High-Fidelity Model-Driven Deception Platform for Cyber-Physical Systems Public/Granted day:2022-06-16
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