Ensemble risk assessment method for networked devices

    公开(公告)号:US11294744B2

    公开(公告)日:2022-04-05

    申请号:US16934214

    申请日:2020-07-21

    Abstract: A management entity receives device fingerprints representing corresponding devices connected to one or more networks. Each device fingerprint includes a multi-bit word indicating hardware, software, network configuration, and failure features for a corresponding one of the devices. The management entity processes the device fingerprints using different methods including statistical risk of failure scoring methods and machine learning risk of failure scoring methods, to produce from each of the methods a respective risk of failure for each device. The management entity combines the respective risk of failures for each device into a composite risk of failure for each device, ranks the devices based on the composite risk of failures for the devices, to produce a risk ranking of the devices, and outputs the risk ranking.

    Ensemble risk assessment method for networked devices

    公开(公告)号:US10769006B2

    公开(公告)日:2020-09-08

    申请号:US16050370

    申请日:2018-07-31

    Abstract: A management entity receives device fingerprints representing corresponding devices connected to one or more networks. Each device fingerprint includes a multi-bit word indicating hardware, software, network configuration, and failure features for a corresponding one of the devices. The management entity processes the device fingerprints using different methods including statistical risk of failure scoring methods and machine learning risk of failure scoring methods, to produce from each of the methods a respective risk of failure for each device. The management entity combines the respective risk of failures for each device into a composite risk of failure for each device, ranks the devices based on the composite risk of failures for the devices, to produce a risk ranking of the devices, and outputs the risk ranking.

    State identity vector for system self awareness

    公开(公告)号:US10826771B2

    公开(公告)日:2020-11-03

    申请号:US16145584

    申请日:2018-09-28

    Abstract: Techniques for system self-assessment using a state identity vector are described. In one embodiment, a method includes obtaining a policy that includes a combination of a plurality of features and a set of desired values for the features. The method also includes comparing the policy to a device fingerprint for a network device and determining compliance with the policy based on the comparison between the device fingerprint and the combination of features. The device fingerprint comprises a multi-bit word having a plurality of positions, with each position representing a feature associated with the network device. Upon determining that the network device is not in compliance with one or more features included in the combination of features of the policy, the method includes implementing a responsive action by the network device according to a schema that defines instructions for each feature represented by the plurality of positions in the device fingerprint.

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