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公开(公告)号:US11777945B1
公开(公告)日:2023-10-03
申请号:US17586086
申请日:2022-01-27
Applicant: SPLUNK Inc.
CPC classification number: H04L63/102 , G06F16/288 , G06N7/00 , G06N20/00 , H04L63/1425
Abstract: Embodiments of the present invention are directed to facilitating detection of suspicious access to resources. In accordance with aspects of the present disclosure, an access graph is generated. The access graph contains access data that includes observed accesses between entities and resources. Access scores can be determined for entity-resource pairs in the access graph by applying a set of access rules to the entity-resource pairs in the access graph. The access scores indicate an extent of relatedness between the corresponding entity and resource. Thereafter, the access scores can be used to train a probabilistic prediction model that predicts suspiciousness of accesses between entities and resources.
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公开(公告)号:US11271939B2
公开(公告)日:2022-03-08
申请号:US16051236
申请日:2018-07-31
Applicant: SPLUNK INC.
Abstract: Embodiments of the present invention are directed to facilitating detection of suspicious access to resources. In accordance with aspects of the present disclosure, an access graph is generated. The access graph contains access data that includes observed accesses between entities and resources. Access scores can be determined for entity-resource pairs in the access graph by applying a set of access rules to the entity-resource pairs in the access graph. The access scores indicate an extent of relatedness between the corresponding entity and resource. Thereafter, the access scores can be used to train a probabilistic prediction model that predicts suspiciousness of accesses between entities and resources.
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公开(公告)号:US20200045049A1
公开(公告)日:2020-02-06
申请号:US16051236
申请日:2018-07-31
Applicant: SPLUNK INC.
Abstract: Embodiments of the present invention are directed to facilitating detection of suspicious access to resources. In accordance with aspects of the present disclosure, an access graph is generated. The access graph contains access data that includes observed accesses between entities and resources. Access scores can be determined for entity-resource pairs in the access graph by applying a set of access rules to the entity-resource pairs in the access graph. The access scores indicate an extent of relatedness between the corresponding entity and resource. Thereafter, the access scores can be used to train a probabilistic prediction model that predicts suspiciousness of accesses between entities and resources.
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