RANDOM NOISE BASED PRIVACY MECHANISM
Techniques are provided for anonymizing statistical reports to protect user privacy. In one embodiment, a first request to view an aggregated statistic pertaining to online behavior of multiple users is received. In response to receiving the first request, a plurality of attributes associated with t...
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| creator | Dietz, Mark Greason, Taylor Tran, Thanh Thi Lac Kenthapadi, Krishnaram Koeppe, Ian Vaughn |
| description | Techniques are provided for anonymizing statistical reports to protect user privacy. In one embodiment, a first request to view an aggregated statistic pertaining to online behavior of multiple users is received. In response to receiving the first request, a plurality of attributes associated with the first request is determined; a function is applied that accepts a seed value and the plurality of attributes to generate a number; a particular noise factor is determined based on the number and a distribution of noise factors; a true value for the aggregated statistic is determined; a noisy value that is different than the true value is determined based on the true value and the particular noise factor; and the noisy value is presented in response to the first request instead of the true value. |
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| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2019080116A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2019080116A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2019080116A13</originalsourceid><addsrcrecordid>eNrjZFAJcvRz8fdV8PP3DHZVcHIMdnVRCAjyDHN0jlTwdXX2cPTzDPblYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBoaWBhYGhoZmjobGxKkCAPpHI8g</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>RANDOM NOISE BASED PRIVACY MECHANISM</title><source>esp@cenet</source><creator>Dietz, Mark ; Greason, Taylor ; Tran, Thanh Thi Lac ; Kenthapadi, Krishnaram ; Koeppe, Ian Vaughn</creator><creatorcontrib>Dietz, Mark ; Greason, Taylor ; Tran, Thanh Thi Lac ; Kenthapadi, Krishnaram ; Koeppe, Ian Vaughn</creatorcontrib><description>Techniques are provided for anonymizing statistical reports to protect user privacy. In one embodiment, a first request to view an aggregated statistic pertaining to online behavior of multiple users is received. In response to receiving the first request, a plurality of attributes associated with the first request is determined; a function is applied that accepts a seed value and the plurality of attributes to generate a number; a particular noise factor is determined based on the number and a distribution of noise factors; a true value for the aggregated statistic is determined; a noisy value that is different than the true value is determined based on the true value and the particular noise factor; and the noisy value is presented in response to the first request instead of the true value.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRIC DIGITAL DATA PROCESSING ; ELECTRICITY ; PHYSICS ; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><creationdate>2019</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=20190314&DB=EPODOC&CC=US&NR=2019080116A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20190314&DB=EPODOC&CC=US&NR=2019080116A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Dietz, Mark</creatorcontrib><creatorcontrib>Greason, Taylor</creatorcontrib><creatorcontrib>Tran, Thanh Thi Lac</creatorcontrib><creatorcontrib>Kenthapadi, Krishnaram</creatorcontrib><creatorcontrib>Koeppe, Ian Vaughn</creatorcontrib><title>RANDOM NOISE BASED PRIVACY MECHANISM</title><description>Techniques are provided for anonymizing statistical reports to protect user privacy. In one embodiment, a first request to view an aggregated statistic pertaining to online behavior of multiple users is received. In response to receiving the first request, a plurality of attributes associated with the first request is determined; a function is applied that accepts a seed value and the plurality of attributes to generate a number; a particular noise factor is determined based on the number and a distribution of noise factors; a true value for the aggregated statistic is determined; a noisy value that is different than the true value is determined based on the true value and the particular noise factor; and the noisy value is presented in response to the first request instead of the true value.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>ELECTRICITY</subject><subject>PHYSICS</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZFAJcvRz8fdV8PP3DHZVcHIMdnVRCAjyDHN0jlTwdXX2cPTzDPblYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBoaWBhYGhoZmjobGxKkCAPpHI8g</recordid><startdate>20190314</startdate><enddate>20190314</enddate><creator>Dietz, Mark</creator><creator>Greason, Taylor</creator><creator>Tran, Thanh Thi Lac</creator><creator>Kenthapadi, Krishnaram</creator><creator>Koeppe, Ian Vaughn</creator><scope>EVB</scope></search><sort><creationdate>20190314</creationdate><title>RANDOM NOISE BASED PRIVACY MECHANISM</title><author>Dietz, Mark ; Greason, Taylor ; Tran, Thanh Thi Lac ; Kenthapadi, Krishnaram ; Koeppe, Ian Vaughn</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2019080116A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2019</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>ELECTRICITY</topic><topic>PHYSICS</topic><topic>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</topic><toplevel>online_resources</toplevel><creatorcontrib>Dietz, Mark</creatorcontrib><creatorcontrib>Greason, Taylor</creatorcontrib><creatorcontrib>Tran, Thanh Thi Lac</creatorcontrib><creatorcontrib>Kenthapadi, Krishnaram</creatorcontrib><creatorcontrib>Koeppe, Ian Vaughn</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Dietz, Mark</au><au>Greason, Taylor</au><au>Tran, Thanh Thi Lac</au><au>Kenthapadi, Krishnaram</au><au>Koeppe, Ian Vaughn</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>RANDOM NOISE BASED PRIVACY MECHANISM</title><date>2019-03-14</date><risdate>2019</risdate><abstract>Techniques are provided for anonymizing statistical reports to protect user privacy. In one embodiment, a first request to view an aggregated statistic pertaining to online behavior of multiple users is received. In response to receiving the first request, a plurality of attributes associated with the first request is determined; a function is applied that accepts a seed value and the plurality of attributes to generate a number; a particular noise factor is determined based on the number and a distribution of noise factors; a true value for the aggregated statistic is determined; a noisy value that is different than the true value is determined based on the true value and the particular noise factor; and the noisy value is presented in response to the first request instead of the true value.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY PHYSICS TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION |
| title | RANDOM NOISE BASED PRIVACY MECHANISM |
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