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

IPC: H04L29/06 ,  H04L12/24 ,  G06F16/22 ,  G06F16/23

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.

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

IPC: H04L29/06 ,  G06F16/22 ,  G06F16/23 ,  H04L12/24 ,  G06N20/00

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.

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

IPC: H04L29/06 ,  G06F17/30 ,  H04L12/24

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.