{"id":"https://openalex.org/W2790802134","doi":"https://doi.org/10.1109/ccnc.2018.8319199","title":"Who's driving you?","display_name":"Who's driving you?","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2790802134","doi":"https://doi.org/10.1109/ccnc.2018.8319199","mag":"2790802134"},"language":"en","primary_location":{"id":"doi:10.1109/ccnc.2018.8319199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc.2018.8319199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th IEEE Annual Consumer Communications &amp; Networking Conference (CCNC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065740082","display_name":"Cherita Corbett","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"facility","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cherita Corbett","raw_affiliation_strings":["Johns Hopkins University, Applied Physics Lab, Laurel, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Applied Physics Lab, Laurel, MD","institution_ids":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091073213","display_name":"Jimmy Alexis","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jimmy Alexis","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035321347","display_name":"Lanier Watkins","orcid":"https://orcid.org/0000-0002-3322-1833"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lanier Watkins","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2075,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43887837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9672999978065491,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7383019924163818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7145484685897827},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.6587717533111572},{"id":"https://openalex.org/keywords/login","display_name":"Login","score":0.6338607668876648},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5633085370063782},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4648436903953552},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.42742401361465454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12409880757331848}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7383019924163818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7145484685897827},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.6587717533111572},{"id":"https://openalex.org/C113324615","wikidata":"https://www.wikidata.org/wiki/Q472302","display_name":"Login","level":2,"score":0.6338607668876648},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5633085370063782},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4648436903953552},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.42742401361465454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12409880757331848},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccnc.2018.8319199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc.2018.8319199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th IEEE Annual Consumer Communications &amp; Networking Conference (CCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1973020038","https://openalex.org/W1984295437","https://openalex.org/W2057936014","https://openalex.org/W2160233560","https://openalex.org/W2286343943"],"related_works":["https://openalex.org/W4256170434","https://openalex.org/W4233948907","https://openalex.org/W4235220108","https://openalex.org/W4315650027","https://openalex.org/W4238894392","https://openalex.org/W2357607877","https://openalex.org/W4238771742","https://openalex.org/W4235839583","https://openalex.org/W2892748340","https://openalex.org/W3216707083"],"abstract_inverted_index":{"Passengers":[0],"of":[1,34,51,55,76,88,116],"peer-to-peer":[2],"ridesharing":[3],"services,":[4],"such":[5],"as":[6],"Uber,":[7],"need":[8],"assurance":[9],"that":[10,46,109],"the":[11,17,32,77,82,86,89,99],"driver":[12,43,113],"picking":[13],"them":[14],"up":[15],"is":[16],"authorized":[18],"vetted":[19],"driver.":[20],"Ridesharing":[21],"accounts":[22],"can":[23],"be":[24],"shared":[25],"or":[26,74],"stolen":[27],"by":[28],"rogue":[29],"drivers,":[30],"compromising":[31],"safety":[33],"passengers.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39,92,110],"propose":[40],"a":[41,52,72,112],"behavior-based":[42],"authentication":[44],"scheme":[45],"enables":[47],"transparent":[48],"continuous":[49],"verification":[50],"driver,":[53],"instead":[54],"relying":[56],"on":[57],"one-time":[58],"account":[59],"login":[60],"authentication.":[61],"We":[62],"leverage":[63],"data":[64],"from":[65],"smartphone":[66],"and":[67,103],"vehicle":[68],"sensors":[69],"to":[70,97,101,118],"compile":[71],"profile":[73],"\u201cfingerprint\u201d":[75],"driver's":[78],"behavior":[79],"while":[80],"operating":[81],"vehicle.":[83],"To":[84],"assess":[85],"practicality":[87],"proposed":[90],"method,":[91],"conducted":[93],"an":[94],"experimental":[95,122],"evaluation":[96],"test":[98],"ability":[100],"distinguish":[102],"identify":[104],"different":[105,121],"drivers.":[106],"Results":[107],"show":[108],"achieve":[111],"identification":[114],"rate":[115],"76.67%":[117],"100%":[119],"across":[120],"scenarios.":[123]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2018-03-29T00:00:00"}
