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Patent Agency Ranking
公开(公告)号：US11315010B2
公开(公告)日：2022-04-26
申请号：US15731059
申请日：2017-04-17
Applicant: Splunk Inc.
Inventor： Gleb Esman , Oleg Izmerly
Abstract: One embodiment of the present invention sets forth a technique for predicting fraud by analyzing user behavior biometric data via a neural network (NN). The technique includes receiving cursor movement data generated via at least one client device, where the cursor movement data is associated with a group of one or more users. The technique further includes generating a plurality of images based on the cursor movement data and training a first neural network (NN) model based on the plurality of images and based on a discard rate that is greater than 50%.
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公开(公告)号：US11811805B1
公开(公告)日：2023-11-07
申请号：US17162906
申请日：2021-01-29
Applicant: SPLUNK INC.
Inventor： Gleb Esman , Oleg Izmerly
CPC classification number: H04L63/1425 , G06F16/951 , G06N3/045 , G06N3/082 , G06N5/025 , G06N20/00 , H04L63/1433
Abstract: One embodiment of the present invention sets forth a technique for predicting fraud by correlating user behavior biometric data with one or more other types of data. The technique includes receiving cursor movement data generated via a client device and analyzing the cursor movement data based on a model to generate a result. The model may be generated based on cursor movement data associated with a first group of one or more users. The technique further includes receiving log data generated via the client device and determining, based on the result and the log data, that a user of the client device is not a member of the first group.
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公开(公告)号：US20180302425A1
公开(公告)日：2018-10-18
申请号：US15731104
申请日：2017-04-17
Applicant: Splunk Inc.
Inventor： Gleb Esman, SR. , Oleg Izmerly
Abstract: One embodiment of the present invention sets forth a technique for predicting fraud by correlating user behavior biometric data with one or more other types of data. The technique includes receiving cursor movement data generated via a client device and analyzing the cursor movement data based on a model to generate a result. The model may be generated based on cursor movement data associated with a first group of one or more users. The technique further includes receiving log data generated via the client device and determining, based on the result and the log data, that a user of the client device is not a member of the first group.
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公开(公告)号：US11102225B2
公开(公告)日：2021-08-24
申请号：US15731104
申请日：2017-04-17
Applicant: Splunk Inc.
Inventor： Gleb Esman , Oleg Izmerly
Abstract: One embodiment of the present invention sets forth a technique for predicting fraud by correlating user behavior biometric data with one or more other types of data. The technique includes receiving cursor movement data generated via a client device and analyzing the cursor movement data based on a model to generate a result. The model may be generated based on cursor movement data associated with a first group of one or more users. The technique further includes receiving log data generated via the client device and determining, based on the result and the log data, that a user of the client device is not a member of the first group.
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公开(公告)号：US20180300572A1
公开(公告)日：2018-10-18
申请号：US15731098
申请日：2017-04-17
Applicant: Splunk Inc.
Inventor： Gleb Esman , Oleg Izmerly
Abstract: One embodiment of the present invention sets forth a technique for predicting fraud based on user behavior biometric data. The technique includes receiving cursor movement data generated via a client device and generating a first image based on the cursor movement data. The technique further includes analyzing the first image based on a first model to generate a result, where the first model is generated based on cursor movement data associated with a first group of one or more users. The technique further includes determining, based on the result, that a user of the client device is not a member of the first group.
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