公开(公告)号：US12057208B1

公开(公告)日：2024-08-06

申请号：US17901554

申请日：2022-09-01

Applicant: Splunk Inc.

Inventor： Gleb Esman

IPC: G16H40/00 ,  G06F3/0482 ,  G06F3/04842 ,  G16H20/13

CPC classification number: G16H20/13 ,  G06F3/0482 ,  G06F3/04842

Abstract: Medication security and healthcare privacy analytics systems are described that enable users to search for and process stored healthcare environment data. The medication security and healthcare privacy analytics systems receive and correlate data from a plurality of data sources, including medication dispensing systems, healthcare employee records, and patient records. The medication security and healthcare privacy analytics systems generate a plurality of feature vectors from processed healthcare environment data. The visualizations are created using datasets generated by clustering algorithms and can indicate those feature vectors from the plurality of feature vectors whose data indicate anomalous interactions with various systems (e.g., indicative of unexpected or non-customary events).

公开(公告)号：US11372956B2

公开(公告)日：2022-06-28

申请号：US15665301

申请日：2017-07-31

Applicant: Splunk Inc.

Inventor： Gleb Esman

IPC: G06F21/31 ,  G06F21/32 ,  G06N3/02 ,  G06N3/04 ,  G06N3/08

Abstract: Embodiments of the present invention set forth a technique for predicting fraud based on multiple inputs including user behavior biometric data along with one or more other parameters associated with the user. The technique includes receiving cursor movement data generated via a client device. The technique further includes generating a image based on the cursor movement data. The technique further includes receiving client parameters generated via the client device. The technique further includes analyzing the image and the client parameters based on a model to generate a prediction result, where the model is generated based on second cursor movement data and a second set of client parameters associated with a first group of one or more users. The technique further includes determining, based on the prediction result, that a user of the client device is not a member of the first group.

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

IPC: G06F21/00 ,  H04L29/06 ,  G06N20/00 ,  G06F16/951 ,  G06N5/02 ,  G06N3/04 ,  G06N3/08

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.

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

IPC: G06K9/00 ,  G06F3/01 ,  G06Q20/40 ,  G06F21/31 ,  G06F21/62

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.