A new mobile biometric based upon usage context
Securing mobile devices present unique challenges and there is considerable interest in identification of new biometric modalities for active authentication of mobile users. Naïve extension of desktop and other fixed asset biometric modalities to mobile environment is limiting because (a) mobile us...
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| creator | Bassu, Devasis Cochinwala, Munir Jain, Ashish |
| description | Securing mobile devices present unique challenges and there is considerable interest in identification of new biometric modalities for active authentication of mobile users. Naïve extension of desktop and other fixed asset biometric modalities to mobile environment is limiting because (a) mobile use provides a richer usage context including location and motion which should be exploited, and (b) biometrics like mouse and eye movement don't simply extend to the mobile usage. We present a new mobile biometric that combines behavioral elements corresponding to what, where, when, and how of the mobile device usage. We propose a representation scheme and a classification model for the new biometric. We also outline an active authentication framework and a test and evaluation approach for using the new biometric. |
| doi_str_mv | 10.1109/THS.2013.6699045 |
| format | Conference Proceeding |
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We also outline an active authentication framework and a test and evaluation approach for using the new biometric.</description><subject>active-authentication</subject><subject>Authentication</subject><subject>authentication framework</subject><subject>bayseian classifier</subject><subject>Biological system modeling</subject><subject>Context</subject><subject>Data models</subject><subject>Measurement</subject><subject>mobile biometric</subject><subject>Mobile communication</subject><subject>Mobile handsets</subject><subject>usage-context</subject><isbn>9781479915354</isbn><isbn>9781479939633</isbn><isbn>1479939633</isbn><isbn>1479915351</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj01LAzEUAONBqNS9C73kD-w2b7PJS46lqBUKHqznko8XiXR3y2aL-u8V7GluwwxjDyAaAGHXh91b0wqQjdbWik7dsMqigQ6tBSVVt2BVKZ9CCECULZg7tt7wgb54P_p8Iu7z2NM85cC9KxT55TwO_FLcB_EwDjN9z_fsNrlToerKJXt_ejxsd_X-9fllu9nXGVDNtSe0QEbH5I3U0iPaBCmADNK01v8F6WgQKJmoTbIxoPdJqmR8hOAiyiVb_XszER3PU-7d9HO8bslf0t9Ccg</recordid><startdate>201311</startdate><enddate>201311</enddate><creator>Bassu, Devasis</creator><creator>Cochinwala, Munir</creator><creator>Jain, Ashish</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201311</creationdate><title>A new mobile biometric based upon usage context</title><author>Bassu, Devasis ; Cochinwala, Munir ; Jain, Ashish</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-be791e86dfb8363b779f1fc13c3829b4796d871ef8d68f9dc7bbf35f8bd1cad73</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>active-authentication</topic><topic>Authentication</topic><topic>authentication framework</topic><topic>bayseian classifier</topic><topic>Biological system modeling</topic><topic>Context</topic><topic>Data models</topic><topic>Measurement</topic><topic>mobile biometric</topic><topic>Mobile communication</topic><topic>Mobile handsets</topic><topic>usage-context</topic><toplevel>online_resources</toplevel><creatorcontrib>Bassu, Devasis</creatorcontrib><creatorcontrib>Cochinwala, Munir</creatorcontrib><creatorcontrib>Jain, Ashish</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bassu, Devasis</au><au>Cochinwala, Munir</au><au>Jain, Ashish</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A new mobile biometric based upon usage context</atitle><btitle>2013 IEEE International Conference on Technologies for Homeland Security (HST)</btitle><stitle>THS</stitle><date>2013-11</date><risdate>2013</risdate><spage>441</spage><epage>446</epage><pages>441-446</pages><eisbn>9781479915354</eisbn><eisbn>9781479939633</eisbn><eisbn>1479939633</eisbn><eisbn>1479915351</eisbn><abstract>Securing mobile devices present unique challenges and there is considerable interest in identification of new biometric modalities for active authentication of mobile users. 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| identifier | EISBN: 9781479915354 |
| ispartof | 2013 IEEE International Conference on Technologies for Homeland Security (HST), 2013, p.441-446 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | active-authentication Authentication authentication framework bayseian classifier Biological system modeling Context Data models Measurement mobile biometric Mobile communication Mobile handsets usage-context |
| title | A new mobile biometric based upon usage context |
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