Automating responses to authentication requests using unsupervised computer learning techniques
Techniques are disclosed relating to automating authentication decisions for a multi-factor authentication scheme based on computer learning. In disclosed embodiments, a mobile device receives a first request corresponding to a factor in a first multi-factor authentication procedure. Based on user i...
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creator | Holloway, Seth Alexander, Joshua David Glazer, Ian Michael Staudt, Alexa Mortimore, Jr., William C |
description | Techniques are disclosed relating to automating authentication decisions for a multi-factor authentication scheme based on computer learning. In disclosed embodiments, a mobile device receives a first request corresponding to a factor in a first multi-factor authentication procedure. Based on user input approving or denying the first request, the mobile device sends a response to the first request and stores values of multiple parameters associated with the first request. The mobile device receives a second request corresponding to a factor in a second multi-factor authentication procedure where the second request is for authentication for a different account than the first request. The mobile device automatically generates an approval response to the second request based on performing a computer learning process on inputs that include values of multiple parameters for the second request and the stored values of the multiple parameters associated with the first request. The approval response is automatically generated and sent without receiving user input to automate the second request. |
format | Patent |
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In disclosed embodiments, a mobile device receives a first request corresponding to a factor in a first multi-factor authentication procedure. Based on user input approving or denying the first request, the mobile device sends a response to the first request and stores values of multiple parameters associated with the first request. The mobile device receives a second request corresponding to a factor in a second multi-factor authentication procedure where the second request is for authentication for a different account than the first request. The mobile device automatically generates an approval response to the second request based on performing a computer learning process on inputs that include values of multiple parameters for the second request and the stored values of the multiple parameters associated with the first request. The approval response is automatically generated and sent without receiving user input to automate the second request.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; PHYSICS ; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION ; WIRELESS COMMUNICATIONS NETWORKS</subject><creationdate>2021</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=20210831&DB=EPODOC&CC=US&NR=11108764B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210831&DB=EPODOC&CC=US&NR=11108764B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Holloway, Seth</creatorcontrib><creatorcontrib>Alexander, Joshua David</creatorcontrib><creatorcontrib>Glazer, Ian Michael</creatorcontrib><creatorcontrib>Staudt, Alexa</creatorcontrib><creatorcontrib>Mortimore, Jr., William C</creatorcontrib><title>Automating responses to authentication requests using unsupervised computer learning techniques</title><description>Techniques are disclosed relating to automating authentication decisions for a multi-factor authentication scheme based on computer learning. In disclosed embodiments, a mobile device receives a first request corresponding to a factor in a first multi-factor authentication procedure. Based on user input approving or denying the first request, the mobile device sends a response to the first request and stores values of multiple parameters associated with the first request. The mobile device receives a second request corresponding to a factor in a second multi-factor authentication procedure where the second request is for authentication for a different account than the first request. The mobile device automatically generates an approval response to the second request based on performing a computer learning process on inputs that include values of multiple parameters for the second request and the stored values of the multiple parameters associated with the first request. The approval response is automatically generated and sent without receiving user input to automate the second request.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>PHYSICS</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><subject>WIRELESS COMMUNICATIONS NETWORKS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjcEOATEURWdjIfiH-gCJItgixB7rSVN3TJOZ1-p7z_frJD7A6i7OObnjqj6oxN5JoJfJ4BSJwUaicSotSIIvLFJhbwULG-VBVWJNyJ_AeBof-6SCbDq4TAMW-JbCUEyrUeM6xuy3k2p-Od9P1wVSrMuf8yBI_bhZa5f73XZzXK3_cb6P8j8X</recordid><startdate>20210831</startdate><enddate>20210831</enddate><creator>Holloway, Seth</creator><creator>Alexander, Joshua David</creator><creator>Glazer, Ian Michael</creator><creator>Staudt, Alexa</creator><creator>Mortimore, Jr., William C</creator><scope>EVB</scope></search><sort><creationdate>20210831</creationdate><title>Automating responses to authentication requests using unsupervised computer learning techniques</title><author>Holloway, Seth ; Alexander, Joshua David ; Glazer, Ian Michael ; Staudt, Alexa ; Mortimore, Jr., William C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US11108764B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>PHYSICS</topic><topic>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</topic><topic>WIRELESS COMMUNICATIONS NETWORKS</topic><toplevel>online_resources</toplevel><creatorcontrib>Holloway, Seth</creatorcontrib><creatorcontrib>Alexander, Joshua David</creatorcontrib><creatorcontrib>Glazer, Ian Michael</creatorcontrib><creatorcontrib>Staudt, Alexa</creatorcontrib><creatorcontrib>Mortimore, Jr., William C</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Holloway, Seth</au><au>Alexander, Joshua David</au><au>Glazer, Ian Michael</au><au>Staudt, Alexa</au><au>Mortimore, Jr., William C</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Automating responses to authentication requests using unsupervised computer learning techniques</title><date>2021-08-31</date><risdate>2021</risdate><abstract>Techniques are disclosed relating to automating authentication decisions for a multi-factor authentication scheme based on computer learning. In disclosed embodiments, a mobile device receives a first request corresponding to a factor in a first multi-factor authentication procedure. Based on user input approving or denying the first request, the mobile device sends a response to the first request and stores values of multiple parameters associated with the first request. The mobile device receives a second request corresponding to a factor in a second multi-factor authentication procedure where the second request is for authentication for a different account than the first request. The mobile device automatically generates an approval response to the second request based on performing a computer learning process on inputs that include values of multiple parameters for the second request and the stored values of the multiple parameters associated with the first request. The approval response is automatically generated and sent without receiving user input to automate the second request.</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 ELECTRICITY PHYSICS TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION WIRELESS COMMUNICATIONS NETWORKS |
title | Automating responses to authentication requests using unsupervised computer learning techniques |
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