FRAUDULENT CALL DETECTION
There is disclosed in one example a mobile telephone, including: a hardware platform including a processor and a memory; a telecommunication transceiver; and instructions encoded within the memory to instruct the processor to: identify a call made via the telecommunication transceiver; analyze the c...
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creator | Tammireddy, Purnima Podila, Pavan Kumar Joshi, Harsha Ramamurthy |
description | There is disclosed in one example a mobile telephone, including: a hardware platform including a processor and a memory; a telecommunication transceiver; and instructions encoded within the memory to instruct the processor to: identify a call made via the telecommunication transceiver; analyze the call and assign the call a predicted local reputation according to the analysis, including a legitimacy confidence score; if the legitimacy confidence score is less than a first threshold, terminate the call; if the legitimacy confidence score is greater than a second threshold, cease analysis of the call; and if the legitimacy confidence score is between the first and second thresholds, continue analysis of the call. |
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and instructions encoded within the memory to instruct the processor to: identify a call made via the telecommunication transceiver; analyze the call and assign the call a predicted local reputation according to the analysis, including a legitimacy confidence score; if the legitimacy confidence score is less than a first threshold, terminate the call; if the legitimacy confidence score is greater than a second threshold, cease analysis of the call; and if the legitimacy confidence score is between the first and second thresholds, continue analysis of the call.</description><language>eng</language><subject>ACOUSTICS ; CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; MUSICAL INSTRUMENTS ; PHYSICS ; SPEECH ANALYSIS OR SYNTHESIS ; SPEECH OR AUDIO CODING OR DECODING ; SPEECH OR VOICE PROCESSING ; SPEECH RECOGNITION ; TELEPHONIC COMMUNICATION</subject><creationdate>2024</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=20240606&DB=EPODOC&CC=US&NR=2024187517A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25569,76552</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240606&DB=EPODOC&CC=US&NR=2024187517A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Tammireddy, Purnima</creatorcontrib><creatorcontrib>Podila, Pavan Kumar</creatorcontrib><creatorcontrib>Joshi, Harsha Ramamurthy</creatorcontrib><title>FRAUDULENT CALL DETECTION</title><description>There is disclosed in one example a mobile telephone, including: a hardware platform including a processor and a memory; 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a telecommunication transceiver; and instructions encoded within the memory to instruct the processor to: identify a call made via the telecommunication transceiver; analyze the call and assign the call a predicted local reputation according to the analysis, including a legitimacy confidence score; if the legitimacy confidence score is less than a first threshold, terminate the call; if the legitimacy confidence score is greater than a second threshold, cease analysis of the call; and if the legitimacy confidence score is between the first and second thresholds, continue analysis of the call.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ACOUSTICS CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION TELEPHONIC COMMUNICATION |
title | FRAUDULENT CALL DETECTION |
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