LEARNING MACHINE BASED DETECTION OF ABNORMAL NETWORK PERFORMANCE

    公开(公告)号:CA2900075A1

    公开(公告)日:2014-08-14

    申请号:CA2900075

    申请日:2014-02-04

    Applicant: CISCO TECH INC

    Abstract: In one embodiment, techniques are shown and described relating to learning machine based detection of abnormal network performance. In particular, in one embodiment, a border router receives a set of network properties x; and network performance metrics M; from a network management server (NMS), and then intercepts x; and M; transmitted from nodes in a computer network of the border router. As such, the border router may then build a regression function F based on x; and Mi, and can detect one or more anomalies in the intercepted x; and M; based on the regression function F. In another embodiment, the NMS, which instructed the border router, receives the detected anomalies from the border router.

    LEARNING MACHINE BASED DETECTION OF ABNORMAL NETWORK PERFORMANCE

    公开(公告)号:CA2900075C

    公开(公告)日:2021-02-16

    申请号:CA2900075

    申请日:2014-02-04

    Applicant: CISCO TECH INC

    Abstract: In one embodiment, techniques are shown and described relating to learning machine based detection of abnormal network performance. In particular, in one embodiment, a border router receives a set of network properties x; and network performance metrics M; from a network management server (NMS), and then intercepts x; and M; transmitted from nodes in a computer network of the border router. As such, the border router may then build a regression function F based on x; and Mi, and can detect one or more anomalies in the intercepted x; and M; based on the regression function F. In another embodiment, the NMS, which instructed the border router, receives the detected anomalies from the border router.

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