{"id":"https://openalex.org/W3103513224","doi":"https://doi.org/10.1109/tmc.2020.3037911","title":"Location Privacy Protection in Vehicle-Based Spatial Crowdsourcing via Geo-Indistinguishability","display_name":"Location Privacy Protection in Vehicle-Based Spatial Crowdsourcing via Geo-Indistinguishability","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3103513224","doi":"https://doi.org/10.1109/tmc.2020.3037911","mag":"3103513224"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2020.3037911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2020.3037911","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"},"type":"article","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/A5070496959","display_name":"Chenxi Qiu","orcid":"https://orcid.org/0000-0002-5288-4050"},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenxi Qiu","raw_affiliation_strings":["Computer Science Department, Rowan University, Glassboro, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Rowan University, Glassboro, NJ, USA","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062519505","display_name":"Anna Squicciarini","orcid":"https://orcid.org/0000-0002-7396-1895"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anna Cinzia Squicciarini","raw_affiliation_strings":["College of Information Science and Technology, Pennsylvania State University, University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044040345","display_name":"Ce Pang","orcid":null},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ce Pang","raw_affiliation_strings":["Computer Science Department, Rowan University, Glassboro, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Rowan University, Glassboro, NJ, USA","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387103","display_name":"Ning Wang","orcid":"https://orcid.org/0000-0001-9698-7310"},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ning Wang","raw_affiliation_strings":["Computer Science Department, Rowan University, Glassboro, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Rowan University, Glassboro, NJ, USA","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019375044","display_name":"Ben Wu","orcid":"https://orcid.org/0000-0001-7504-3273"},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben Wu","raw_affiliation_strings":["Electrical and Computer Engineering Department, Rowan University, Glassboro, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Rowan University, Glassboro, NJ, USA","institution_ids":["https://openalex.org/I44265643"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1977,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.9517857,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.8201888799667358},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7793548107147217},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.6920868158340454},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5395869612693787},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4806593656539917},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.38557663559913635},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17309334874153137}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.8201888799667358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7793548107147217},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.6920868158340454},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5395869612693787},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4806593656539917},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.38557663559913635},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17309334874153137}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2020.3037911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2020.3037911","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1283549275","display_name":null,"funder_award_id":"NSF-2029976","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G217562428","display_name":null,"funder_award_id":"NSF-2029881","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W153677436","https://openalex.org/W1574220596","https://openalex.org/W1592546864","https://openalex.org/W1711940457","https://openalex.org/W1870542990","https://openalex.org/W1873763122","https://openalex.org/W1933856690","https://openalex.org/W1994952354","https://openalex.org/W2003465916","https://openalex.org/W2005725988","https://openalex.org/W2026472243","https://openalex.org/W2027028514","https://openalex.org/W2034479787","https://openalex.org/W2040246974","https://openalex.org/W2044986123","https://openalex.org/W2056001626","https://openalex.org/W2056773559","https://openalex.org/W2059618043","https://openalex.org/W2069388449","https://openalex.org/W2076775688","https://openalex.org/W2077865043","https://openalex.org/W2082894754","https://openalex.org/W2086863233","https://openalex.org/W2102611836","https://openalex.org/W2105560970","https://openalex.org/W2112469755","https://openalex.org/W2116347193","https://openalex.org/W2128870831","https://openalex.org/W2142384583","https://openalex.org/W2149921703","https://openalex.org/W2151254335","https://openalex.org/W2157457404","https://openalex.org/W2157855380","https://openalex.org/W2162986857","https://openalex.org/W2312098053","https://openalex.org/W2343373727","https://openalex.org/W2430704425","https://openalex.org/W2467748160","https://openalex.org/W2509042760","https://openalex.org/W2509316321","https://openalex.org/W2604253054","https://openalex.org/W2612729617","https://openalex.org/W2736254359","https://openalex.org/W2761839202","https://openalex.org/W2769903624","https://openalex.org/W2778910241","https://openalex.org/W2784937707","https://openalex.org/W2794925497","https://openalex.org/W2808853068","https://openalex.org/W2911978475","https://openalex.org/W2979172579","https://openalex.org/W2982369979","https://openalex.org/W3034684447","https://openalex.org/W3093559999","https://openalex.org/W3101704102","https://openalex.org/W3105636147","https://openalex.org/W4210372694","https://openalex.org/W6640593155","https://openalex.org/W6736354261"],"related_works":["https://openalex.org/W2584827882","https://openalex.org/W2538581760","https://openalex.org/W3195097297","https://openalex.org/W3038106605","https://openalex.org/W2513267613","https://openalex.org/W3049084372","https://openalex.org/W2528109871","https://openalex.org/W2940702331","https://openalex.org/W4225340788","https://openalex.org/W4318485713"],"abstract_inverted_index":{"Nowadays,":[0],"vehicles":[1],"have":[2],"been":[3],"increasingly":[4],"adopted":[5],"in":[6,71,155,193],"many":[7],"spatial":[8,82],"crowdsourcing":[9,83],"(SC)":[10],"applications.":[11],"Similar":[12],"to":[13,23,30,35,37,50,80,93,99,105,120,126],"other":[14],"SC":[15,52],"applications,":[16],"location":[17,34,43,96,190],"privacy":[18,44],"is":[19,92],"of":[20,68,116,153,183,195],"great":[21],"concern":[22],"vehicle":[24],"workers":[25],"as":[26],"they":[27,54],"are":[28],"required":[29],"disclose":[31],"their":[32],"own":[33],"servers":[36],"facilitate":[38],"the":[39,64,101,113,141,181],"service":[40],"utilities.":[41],"Traditional":[42],"protection":[45],"mechanisms":[46],"cannot":[47],"be":[48,133],"applied":[49],"vehicle-based":[51],"since":[53],"assume":[55],"workers\u2019":[56],"mobility":[57,66],"on":[58,162],"a":[59,95,127,187],"2-dimensional":[60],"plane":[61],"without":[62],"considering":[63],"network-constrained":[65],"features":[67,152],"vehicles.":[69],"Accordingly,":[70],"this":[72],"paper,":[73],"we":[74,122,143,167],"aim":[75],"at":[76],"addressing":[77],"issues":[78],"related":[79],"Vehicle-based":[81],"Location":[84],"Privacy":[85],"(VLP)":[86],"over":[87,186],"road":[88,156],"networks.":[89],"Our":[90],"objective":[91],"design":[94],"obfuscation":[97,106,191],"strategy":[98,192],"minimize":[100],"quality":[102],"loss":[103],"due":[104],"with":[107],"<italic":[108],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[109],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">geo-indistinguishability</i>":[110],"satisfied.":[111],"Considering":[112],"computational":[114],"complexity":[115],"VLP,":[117],"by":[118,135,149],"resorting":[119],"discretization,":[121],"first":[123],"approximate":[124],"VLP":[125,148],"linear":[128],"programming":[129],"problem":[130,159],"that":[131],"can":[132],"solved":[134],"well-developed":[136],"approaches.":[137],"To":[138],"further":[139],"improve":[140],"time-efficiency,":[142],"conduct":[144],"constraint":[145,164],"reduction":[146],"for":[147],"exploiting":[150],"key":[151],"geo-indistinguishability":[154],"networks":[157],"and":[158,173,198],"decomposition":[160],"based":[161],"VLP\u2019s":[163],"structure.":[165],"Finally,":[166],"carry":[168],"out":[169],"both":[170,196],"trace-driven":[171],"simulation":[172],"real-world":[174],"experiments,":[175],"where":[176],"our":[177,184],"experimental":[178],"results":[179],"demonstrate":[180],"superiority":[182],"approach":[185],"known":[188],"state-of-the-art":[189],"terms":[194],"quality-of-service":[197],"privacy.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}