DETECTING FRAUD BY CORRELATING USER BEHAVIOR BIOMETRICS WITH OTHER DATA SOURCES
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...
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| creator | Izmerly, Oleg Esman, SR., Gleb |
| description | 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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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.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRIC DIGITAL DATA PROCESSING ; ELECTRICITY ; PHYSICS ; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><creationdate>2018</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20181018&DB=EPODOC&CC=US&NR=2018302425A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20181018&DB=EPODOC&CC=US&NR=2018302425A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Izmerly, Oleg</creatorcontrib><creatorcontrib>Esman, SR., Gleb</creatorcontrib><title>DETECTING FRAUD BY CORRELATING USER BEHAVIOR BIOMETRICS WITH OTHER DATA SOURCES</title><description>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. 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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.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY PHYSICS TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION |
| title | DETECTING FRAUD BY CORRELATING USER BEHAVIOR BIOMETRICS WITH OTHER DATA SOURCES |
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