{"id":"https://openalex.org/W2775562353","doi":"https://doi.org/10.1109/tmc.2017.2780091","title":"Frameworks for Privacy-Preserving Mobile Crowdsensing Incentive Mechanisms","display_name":"Frameworks for Privacy-Preserving Mobile Crowdsensing Incentive Mechanisms","publication_year":2017,"publication_date":"2017-12-07","ids":{"openalex":"https://openalex.org/W2775562353","doi":"https://doi.org/10.1109/tmc.2017.2780091","mag":"2775562353"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2017.2780091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2017.2780091","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/A5091644827","display_name":"Jian Lin","orcid":"https://orcid.org/0000-0003-0436-0858"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jian Lin","raw_affiliation_strings":["Colorado School of Mines, Golden, CO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Colorado School of Mines, Golden, CO","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048130147","display_name":"Dejun Yang","orcid":"https://orcid.org/0000-0002-1811-4423"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dejun Yang","raw_affiliation_strings":["Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-1811-4423","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351368","display_name":"Ming Li","orcid":"https://orcid.org/0000-0002-0312-4047"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Li","raw_affiliation_strings":["Colorado School of Mines, Golden, CO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Colorado School of Mines, Golden, CO","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018815299","display_name":"Jia Xu","orcid":"https://orcid.org/0000-0002-0523-9673"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Xu","raw_affiliation_strings":["Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-0523-9673","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026230689","display_name":"Guoliang Xue","orcid":"https://orcid.org/0000-0002-5833-8894"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guoliang Xue","raw_affiliation_strings":["Arizona State University, Tempe, AZ"],"raw_orcid":"https://orcid.org/0000-0002-5833-8894","affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091644827"],"corresponding_institution_ids":["https://openalex.org/I167576493"],"apc_list":null,"apc_paid":null,"fwci":21.9531,"has_fulltext":false,"cited_by_count":115,"citation_normalized_percentile":{"value":0.99413394,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"17","issue":"8","first_page":"1851","last_page":"1864"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/computer-science","display_name":"Computer science","score":0.8513106107711792},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.6422433853149414},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.6376394033432007},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.608156681060791},{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.5258415341377258},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5216389298439026},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.49803853034973145},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.49339571595191956},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.46703383326530457},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.32125741243362427},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22403308749198914},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14609390497207642},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13334247469902039}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8513106107711792},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6422433853149414},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.6376394033432007},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.608156681060791},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.5258415341377258},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5216389298439026},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.49803853034973145},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.49339571595191956},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.46703383326530457},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.32125741243362427},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22403308749198914},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14609390497207642},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13334247469902039},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2017.2780091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2017.2780091","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":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G6371124369","display_name":null,"funder_award_id":"61472193","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W17090561","https://openalex.org/W1486008480","https://openalex.org/W1505710622","https://openalex.org/W1586903790","https://openalex.org/W1775899153","https://openalex.org/W1873763122","https://openalex.org/W1933856690","https://openalex.org/W1963069121","https://openalex.org/W1965453474","https://openalex.org/W1969759341","https://openalex.org/W1970756365","https://openalex.org/W1974371521","https://openalex.org/W1976989753","https://openalex.org/W1977093441","https://openalex.org/W1985777504","https://openalex.org/W1993116423","https://openalex.org/W2007382769","https://openalex.org/W2042307600","https://openalex.org/W2044256450","https://openalex.org/W2053437234","https://openalex.org/W2055633552","https://openalex.org/W2056784638","https://openalex.org/W2066840620","https://openalex.org/W2069721762","https://openalex.org/W2082894754","https://openalex.org/W2093327657","https://openalex.org/W2094716634","https://openalex.org/W2096899416","https://openalex.org/W2101024939","https://openalex.org/W2123820077","https://openalex.org/W2123924311","https://openalex.org/W2126170153","https://openalex.org/W2144169341","https://openalex.org/W2151940804","https://openalex.org/W2154711640","https://openalex.org/W2155335555","https://openalex.org/W2157054705","https://openalex.org/W2186172423","https://openalex.org/W2196824873","https://openalex.org/W2233905468","https://openalex.org/W2276327163","https://openalex.org/W2294558422","https://openalex.org/W2324695044","https://openalex.org/W2395278586","https://openalex.org/W2438328984","https://openalex.org/W2467851685","https://openalex.org/W2474250966","https://openalex.org/W2483823355","https://openalex.org/W2523189116","https://openalex.org/W2585969494","https://openalex.org/W2591038705","https://openalex.org/W2911978475","https://openalex.org/W2951299674","https://openalex.org/W4248649186","https://openalex.org/W6600678627","https://openalex.org/W6639246211","https://openalex.org/W6640593155","https://openalex.org/W6644033017","https://openalex.org/W6686235636"],"related_works":["https://openalex.org/W2563347706","https://openalex.org/W2608033733","https://openalex.org/W3038283795","https://openalex.org/W2999136942","https://openalex.org/W2048100608","https://openalex.org/W2090296580","https://openalex.org/W1576249345","https://openalex.org/W4243905374","https://openalex.org/W2785815065","https://openalex.org/W1796074903"],"abstract_inverted_index":{"With":[0],"the":[1,17,39,54,61,84,102,138,167,176,182,185],"rapid":[2],"growth":[3],"of":[4,16,47,57,94,175,184],"smartphones,":[5],"mobile":[6,40],"crowdsensing":[7,41],"emerges":[8],"as":[9],"a":[10,89,92,107],"new":[11],"paradigm":[12],"which":[13],"takes":[14],"advantage":[15],"pervasive":[18],"sensor-embedded":[19],"smartphones":[20],"to":[21,32,36,99,136],"collect":[22],"data":[23],"efficiently.":[24],"Many":[25],"auction-based":[26,73],"incentive":[27,74],"mechanisms":[28,75],"have":[29],"been":[30],"proposed":[31,146],"stimulate":[33],"smartphone":[34,58],"users":[35,59,119],"participate":[37],"in":[38,101,112,173],"applications":[42],"and":[43,60,133,156,188],"systems.":[44],"However,":[45],"none":[46],"them":[48],"has":[49],"taken":[50],"into":[51],"consideration":[52],"both":[53,145],"bid":[55,90,108],"privacy":[56],"social":[62,80,158,177,198],"cost.":[63,178,199],"In":[64,83,161],"this":[65],"paper,":[66],"we":[67,127],"design":[68],"two":[69,129,139,168,186],"frameworks":[70,117,147,169,187,192],"for":[71,91,109],"privacypreserving":[72],"that":[76,144,190],"also":[77],"achieve":[78,148,193],"approximate":[79,157],"cost":[81,159],"minimization.":[82,160],"former,":[85],"each":[86,104,110],"user":[87,105],"submits":[88,106],"set":[93],"tasks":[95],"it":[96],"is":[97],"willing":[98],"perform;":[100],"latter,":[103],"task":[111,114],"its":[113],"set.":[115],"Both":[116],"select":[118],"based":[120],"on":[121],"platform-defined":[122],"score":[123,130,165],"functions.":[124],"As":[125],"examples,":[126],"propose":[128],"functions,":[131,135],"linear":[132],"log":[134,164],"realize":[137],"frameworks.":[140],"We":[141],"rigorously":[142],"prove":[143],"computational":[149],"efficiency,":[150],"individual":[151],"rationality,":[152],"truthfulness,":[153],"differential":[154],"privacy,":[155],"addition,":[162],"with":[163],"function,":[166],"are":[170],"asymptotically":[171],"optimal":[172],"terms":[174],"Extensive":[179],"simulations":[180],"evaluate":[181],"performance":[183],"demonstrate":[189],"our":[191],"bid-privacy":[194],"preservation":[195],"although":[196],"sacrificing":[197]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":28},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
