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公开(公告)号：US20180337937A1
公开(公告)日：2018-11-22
申请号：US15600562
申请日：2017-05-19
Applicant: salesforce.com, inc.
Inventor： Matthew Saunders , Ping Yan , John Slater , Wei Deng
Abstract: Techniques for user behavior anomaly detection. At least one low-variance characteristic is compared to an expected result for the corresponding low-variance characteristics to determine if the low-variance characteristic(s) is/are within a pre-selected range of the expected results. A security response action is taken in response to the low-variance characteristic not being within the first pre-selected range of the expected results. At least one high-variance characteristic is compared to an expected result for the corresponding high-variance characteristics to determine if the high-variance characteristic(s) is/are within a pre-selected range of the expected results. A security response action is taken in response to the high-variance characteristic not being within the first pre-selected range of the expected results. Access is provided if the low-variance and the high-variance characteristics are within the respective expected ranges.
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公开(公告)号：US20210336980A1
公开(公告)日：2021-10-28
申请号：US17316465
申请日：2021-05-10
Applicant: salesforce.com, inc.
Inventor： Matthew Saunders , Ping Yan , John Slater , Wei Deng
Abstract: Techniques for user behavior anomaly detection. At least one low-variance characteristic is compared to an expected result for the corresponding low-variance characteristics to determine if the low-variance characteristic(s) is/are within a pre-selected range of the expected results. A security response action is taken in response to the low-variance characteristic not being within the first pre-selected range of the expected results. At least one high-variance characteristic is compared to an expected result for the corresponding high-variance characteristics to determine if the high-variance characteristic(s) is/are within a pre-selected range of the expected results. A security response action is taken in response to the high-variance characteristic not being within the first pre-selected range of the expected results. Access is provided if the low-variance and the high-variance characteristics are within the respective expected ranges.
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公开(公告)号：US11005864B2
公开(公告)日：2021-05-11
申请号：US15600562
申请日：2017-05-19
Applicant: salesforce.com, inc.
Inventor： Matthew Saunders , Ping Yan , John Slater , Wei Deng
Abstract: Techniques for user behavior anomaly detection. At least one low-variance characteristic is compared to an expected result for the corresponding low-variance characteristics to determine if the low-variance characteristic(s) is/are within a pre-selected range of the expected results. A security response action is taken in response to the low-variance characteristic not being within the first pre-selected range of the expected results. At least one high-variance characteristic is compared to an expected result for the corresponding high-variance characteristics to determine if the high-variance characteristic(s) is/are within a pre-selected range of the expected results. A security response action is taken in response to the high-variance characteristic not being within the first pre-selected range of the expected results. Access is provided if the low-variance and the high-variance characteristics are within the respective expected ranges.
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