ASSURANCE MODEL FOR AN AUTONOMOUS ROBOTIC SYSTEM

    公开(公告)号:US20240095354A1

    公开(公告)日:2024-03-21

    申请号:US18368384

    申请日:2023-09-14

    CPC classification number: G06F21/554 G06N7/01 G06F2221/034

    Abstract: A security assessment tool and application for an autonomous robotic systems utilizes a Bayesian Network for scoring each subsystem based on security-enabled features. Each subsystem layer may consist of the system, hardware, software, Al, and supplier elements in an autonomous robotic (or other) system. Each element is assessed on the basis of its trustworthiness (based on factors such as the integrity of the design process, the engineering process, followed by the assessment of the integrity of the supplier, and the like) as well as a weighting based on the criticality of that element to the correct operation of the system. Using these factors, a “belief’ in the assurance of the system is determined based on a Bayesian model. The Bayesian Network is used to determine an autonomous robotic systems' internal trust before that can be extended to an external entity.

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