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公开(公告)号:US11496492B2
公开(公告)日:2022-11-08
申请号:US16540969
申请日:2019-08-14
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor: Unum Sarfraz , Mohan Parthasarathy , Brijesh Nambiar , Min-Yi Shen , Viswesh Ananthakrishnan
Abstract: Systems and methods are provided for managing false positives in a network anomaly detection system. The methods may include receiving a plurality of anomaly reports; extracting fields, and values for the fields, from each of the anomaly reports; grouping the anomaly reports into a plurality of groups according to association rule learning, wherein each group is defined by a respective rule; for each group, creating a cluster based on common values for the fields; and marking each cluster as a possible false positive anomaly cluster.