发明名称 Anomaly detection based on profile history and peer history
摘要 A method and apparatus for automatic anomaly detection based on profile history and peer history are described. An anomaly detection system collects file-activity data pertaining to file accesses activities in a network share. The system computes file access patterns for the individual users and compares the individual user's file access pattern against a profile history to find a first deviation. The system also identifies a cluster of users from the group based on at least one of user collaborations of individual users of the group or a reporting structure of the group of users. When the first deviation is found, the system compares the user's file access pattern against a peer history of the other individual users in the cluster to find a second deviation. The system reports an anomaly in the file access patterns by the individual user when the first deviation and the second deviation are found.
申请公布号 US9166993(B1) 申请公布日期 2015.10.20
申请号 US201313950744 申请日期 2013.07.25
申请人 SYMANTEC CORPORATION 发明人 Liu Yin
分类号 H04L29/06 主分类号 H04L29/06
代理机构 Lowenstein Sandler LLP 代理人 Lowenstein Sandler LLP
主权项 1. A method comprising: collecting, by an anomaly detection system executing by a processor, file-activity data pertaining to file accesses to files in an identified network share accessed by a group of individual users; computing, by the anomaly detection system, file access patterns for the individual users in the group from the file-activity data; for one of the individual users, comparing the individual user's file access pattern against a profile history of the individual user to find a first deviation in the file accesses by the individual user; identifying, by the anomaly detection system, a cluster of users from the group based on at least one of user collaborations of individual users of the group or a reporting structure of the group of users; when the first deviation is found, comparing the individual user's file access pattern against a peer history of the other individual users in the cluster to find a second deviation; and reporting, by the anomaly detection system, an anomaly in the file access patterns by the individual user when the first deviation and the second deviation are found.
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