DEVICE, INTEGRATED CIRCUIT AND METHODS THEREFOR

    公开(公告)号:US20210133362A1

    公开(公告)日:2021-05-06

    申请号:US17081589

    申请日:2020-10-27

    Applicant: NXP B.V.

    Abstract: A device and methods are described that comprise at least one host application and a rich execution environment. At least one interface is operably coupled to the REE for communicating with a remote server. A security sub-system comprises a security monitoring and control circuit coupled to the REE and connectable to the remote server via the REE and the at least one interface. The security monitoring and control circuit comprises an analytics circuit configured to detect an anomaly following a compromisation of the device. The security monitoring and control circuit is arranged to treat the REE as an untrusted component and in response to a detection of a compromisation of the REE or a component in the device that is accessible by the REE by the analytics circuit, the security monitoring and control circuit is configured to re-establish a secure connection to the remote server that tunnels through the REE and at least partially removes the compromisation from the device.

    DATA PROCESSING SYSTEM AND METHOD FOR ACQUIRING DATA FOR TRAINING A MACHINE LEARNING MODEL FOR USE IN MONITORING THE DATA PROCESSING SYSTEM FOR ANOMALIES

    公开(公告)号:US20210272016A1

    公开(公告)日:2021-09-02

    申请号:US16805953

    申请日:2020-03-02

    Applicant: NXP B.V.

    Abstract: A data processing system and a method are provided for acquiring data for training a machine learning (ML) model for use in self-monitoring the data processing system. The data processing system operates in a data acquisition mode to acquire training data for training the ML model. The training data is acquired from an anomaly detector of the data processing system while operating in the data acquisition mode. At least a portion of the training data is determined to be biased, and a portion of the training data is unbiased. The unbiased portion of the training data is transferred to a training environment external to the data processing system. The unbiased portion of the training data is acquired for training the ML model to function with the anomaly detector during a normal operating mode to determine when an anomaly is present in the data processing system.

    Data processing system and method for acquiring data for training a machine learning model for use in monitoring the data processing system for anomalies

    公开(公告)号:US11586983B2

    公开(公告)日:2023-02-21

    申请号:US16805953

    申请日:2020-03-02

    Applicant: NXP B.V.

    Abstract: A data processing system and a method are provided for acquiring data for training a machine learning (ML) model for use in self-monitoring the data processing system. The data processing system operates in a data acquisition mode to acquire training data for training the ML model. The training data is acquired from an anomaly detector of the data processing system while operating in the data acquisition mode. At least a portion of the training data is determined to be biased, and a portion of the training data is unbiased. The unbiased portion of the training data is transferred to a training environment external to the data processing system. The unbiased portion of the training data is acquired for training the ML model to function with the anomaly detector during a normal operating mode to determine when an anomaly is present in the data processing system.

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