EGO ACTIONS IN RESPONSE TO MISBEHAVING VEHICLE IDENTIFICATION

    公开(公告)号:US20220355807A1

    公开(公告)日:2022-11-10

    申请号:US17858676

    申请日:2022-07-06

    Abstract: Systems, apparatus, methods, and techniques for an ego vehicle to respond to detecting misbehaving information from remote vehicles are provided. An ego vehicle, in addition to reporting misbehaving vehicles to a misbehavior authority via a vehicle-to-anything communication network, can, take additional actions based in part on how confident the ego vehicle is about the evidence of misbehavior. Where the confidence is high the ego vehicle can simply discard the misbehaving data and provide an alternative estimate for such data from alternative sources. Where the confidence is not high the ego vehicle can request assistance from neighboring vehicles and roadside units to provide independent estimates of the data to increase confidence in the evidence of misbehavior.

    Anomaly detection in a controller area network

    公开(公告)号:US11012409B2

    公开(公告)日:2021-05-18

    申请号:US15942031

    申请日:2018-03-30

    Abstract: There is disclosed in one example a computing apparatus, including: a hardware platform; a network interface to communicatively couple to a bus lacking native support for authentication; and an anomaly detection engine to operate on the hardware platform and configured to: receive a first data stream across a first time; symbolize and approximate the first data stream, including computing a first window sum; receive a second data stream across a second time substantially equal in length to the first time, the second data stream including data across the plurality of dimensions from the first data stream; symbolize and approximate the second data stream, including computing a second window sum; compute a difference between the first window sum and the second window sum; determine that difference exceeds a threshold and that the correlation across the plurality of dimensions is broken; and flag a potential anomaly.

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