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公开(公告)号：US10382463B2
公开(公告)日：2019-08-13
申请号：US15385491
申请日：2016-12-20
Applicant: salesforce.com, inc.
Inventor： Ping Yan , Huy Hang , Hui Fung Herman Kwong
IPC: H04L29/06
Abstract: Threat detection in a multi-organizational environment. Attribute data corresponding to accesses to a multi-organizational environment and entity data corresponding to accesses to the multi-organizational environment are maintained. A graph based on the attribute data and the entity data where graph edges represent a relationship between an attribute and an entity is generated. Subsequent access are compared to the graph to determine if the subsequent access corresponds to a new relationship. The subsequent access is allowed if the subsequent access does not correspond to a new relationship. The subsequent access further analyzed if the subsequent access corresponds to a new, unexpected relationship.
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公开(公告)号：US10182063B2
公开(公告)日：2019-01-15
申请号：US15058954
申请日：2016-03-02
Applicant: salesforce.com, inc.
Inventor： Philip Raymond Nadeau , Tejinder Singh Aulakh , Ping Yan , Huy Nhut Hang
Abstract: Architectures and techniques for in-app behavior detection. A behavior detection agent within an application running on a hardware computing device captures events within the application. The events are inputs received from one or more sources external to the application. The behavior detection agent generates an event stream from the captured events. The behavior detection agent analyzes the event stream for significant feature frequencies and associations corresponding to one or more attack profiles. The behavior detection agent initiates an attack response in response to finding one or more significant feature frequencies and associations. The attack response comprises at least changing an operational configuration of the application.
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公开(公告)号：US20170257384A1
公开(公告)日：2017-09-07
申请号：US15058954
申请日：2016-03-02
Applicant: salesforce.com, inc.
Inventor： Philip Raymond Nadeau , Tejinder Singh Aulakh , Ping Yan , Huy Nhut Hang
CPC classification number: H04L63/1416 , G06N99/005 , H04L63/1425 , H04L63/1441
Abstract: Architectures and techniques for in-app behavior detection. A behavior detection agent within an application running on a hardware computing device captures events within the application. The events are inputs received from one or more sources external to the application. The behavior detection agent generates an event stream from the captured events. The behavior detection agent analyzes the event stream for significant feature frequencies and associations corresponding to one or more attack profiles. The behavior detection agent initiates an attack response in response to finding one or more significant feature frequencies and associations. The attack response comprises at least changing an operational configuration of the application.
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Patent Agency Ranking
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：US11025652B2
公开(公告)日：2021-06-01
申请号：US16247445
申请日：2019-01-14
Applicant: salesforce.com, inc.
Inventor： Philip Raymond Nadeau , Tejinder Singh Aulakh , Ping Yan , Huy Nhut Hang
Abstract: Architectures and techniques for in-app behavior detection. A behavior detection agent within an application running on a hardware computing device captures events within the application. The events are inputs received from one or more sources external to the application. The behavior detection agent generates an event stream from the captured events. The behavior detection agent analyzes the event stream for significant feature frequencies and associations corresponding to one or more attack profiles. The behavior detection agent initiates an attack response in response to finding one or more significant feature frequencies and associations. The attack response comprises at least changing an operational configuration of the application.
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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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公开(公告)号：US20190387006A1
公开(公告)日：2019-12-19
申请号：US16247445
申请日：2019-01-14
Applicant: salesforce.com, inc.
Inventor： Philip Raymond Nadeau , Tejinder Singh Aulakh , Ping Yan , Huy Nhut Hang
Abstract: Architectures and techniques for in-app behavior detection. A behavior detection agent within an application running on a hardware computing device captures events within the application. The events are inputs received from one or more sources external to the application. The behavior detection agent generates an event stream from the captured events. The behavior detection agent analyzes the event stream for significant feature frequencies and associations corresponding to one or more attack profiles. The behavior detection agent initiates an attack response in response to finding one or more significant feature frequencies and associations. The attack response comprises at least changing an operational configuration of the application.
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