{"id":"https://openalex.org/W2611877607","doi":"https://doi.org/10.1109/percom.2017.7917851","title":"Scalable privacy-preserving participant selection in mobile crowd sensing","display_name":"Scalable privacy-preserving participant selection in mobile crowd sensing","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2611877607","doi":"https://doi.org/10.1109/percom.2017.7917851","mag":"2611877607"},"language":"en","primary_location":{"id":"doi:10.1109/percom.2017.7917851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom.2017.7917851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Pervasive Computing and Communications (PerCom)","raw_type":"proceedings-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/A5100416912","display_name":"Ting Li","orcid":"https://orcid.org/0000-0003-4479-9953"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ting Li","raw_affiliation_strings":["College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA"],"affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000818365","display_name":"Taeho Jung","orcid":"https://orcid.org/0000-0002-9082-0357"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Taeho Jung","raw_affiliation_strings":["Department of Computer Science, Illinois Institute of Technology, Chicago, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Illinois Institute of Technology, Chicago, USA","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018244743","display_name":"Hanshang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanshang Li","raw_affiliation_strings":["College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA"],"affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076382437","display_name":"Lijuan Cao","orcid":"https://orcid.org/0000-0002-1755-1541"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lijuan Cao","raw_affiliation_strings":["College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA"],"affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110551419","display_name":"Weichao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weichao Wang","raw_affiliation_strings":["College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA"],"affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341802","display_name":"Xiang\u2010Yang Li","orcid":"https://orcid.org/0000-0002-6070-6625"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xiang-Yang Li","raw_affiliation_strings":["Department of Computer Science, Illinois Institute of Technology, Chicago, USA","School of Computer Science, University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Illinois Institute of Technology, Chicago, USA","institution_ids":["https://openalex.org/I180949307"]},{"raw_affiliation_string":"School of Computer Science, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445368","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0003-3511-0288"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA"],"affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100416912"],"corresponding_institution_ids":["https://openalex.org/I102149020"],"apc_list":null,"apc_paid":null,"fwci":9.7822,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.97794953,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"59","last_page":"68"},"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":0.9994999766349792,"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/T11182","display_name":"Auction Theory and Applications","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision 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":0.8060358166694641},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.70541912317276},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.5410225987434387},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5050299763679504},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.4890907406806946},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4540369212627411},{"id":"https://openalex.org/keywords/auction-algorithm","display_name":"Auction algorithm","score":0.4253201186656952},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4251788854598999},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4218767285346985},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3447241187095642},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3087800145149231},{"id":"https://openalex.org/keywords/common-value-auction","display_name":"Common value auction","score":0.3022136688232422},{"id":"https://openalex.org/keywords/auction-theory","display_name":"Auction theory","score":0.21807929873466492},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.17025336623191833},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1308252513408661},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09487837553024292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8060358166694641},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.70541912317276},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.5410225987434387},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5050299763679504},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.4890907406806946},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4540369212627411},{"id":"https://openalex.org/C74979957","wikidata":"https://www.wikidata.org/wiki/Q4819604","display_name":"Auction algorithm","level":5,"score":0.4253201186656952},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4251788854598999},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4218767285346985},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3447241187095642},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3087800145149231},{"id":"https://openalex.org/C163239763","wikidata":"https://www.wikidata.org/wiki/Q5153637","display_name":"Common value auction","level":2,"score":0.3022136688232422},{"id":"https://openalex.org/C11276805","wikidata":"https://www.wikidata.org/wiki/Q771334","display_name":"Auction theory","level":3,"score":0.21807929873466492},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.17025336623191833},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1308252513408661},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09487837553024292},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C143684077","wikidata":"https://www.wikidata.org/wiki/Q431186","display_name":"Revenue equivalence","level":4,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percom.2017.7917851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom.2017.7917851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Pervasive Computing and Communications (PerCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W126178194","https://openalex.org/W132244987","https://openalex.org/W655626130","https://openalex.org/W1536311772","https://openalex.org/W1537409952","https://openalex.org/W1546675633","https://openalex.org/W1818025264","https://openalex.org/W1858229664","https://openalex.org/W1914453949","https://openalex.org/W1974371521","https://openalex.org/W1994500462","https://openalex.org/W2006974280","https://openalex.org/W2015007620","https://openalex.org/W2021497016","https://openalex.org/W2027595342","https://openalex.org/W2036169870","https://openalex.org/W2040168265","https://openalex.org/W2044061380","https://openalex.org/W2055633552","https://openalex.org/W2066892690","https://openalex.org/W2071253439","https://openalex.org/W2074968817","https://openalex.org/W2078040677","https://openalex.org/W2079913403","https://openalex.org/W2092685727","https://openalex.org/W2093053445","https://openalex.org/W2101637528","https://openalex.org/W2109784850","https://openalex.org/W2120100612","https://openalex.org/W2139965650","https://openalex.org/W2146673169","https://openalex.org/W2146697949","https://openalex.org/W2157861192","https://openalex.org/W2199385070","https://openalex.org/W2216069195","https://openalex.org/W2248864398","https://openalex.org/W2283958932","https://openalex.org/W2326421035","https://openalex.org/W2418248778","https://openalex.org/W2433302523","https://openalex.org/W2435484220","https://openalex.org/W2467851685","https://openalex.org/W2474250966","https://openalex.org/W2496884645","https://openalex.org/W2508573783","https://openalex.org/W2535119350","https://openalex.org/W2535723296","https://openalex.org/W2553695847","https://openalex.org/W3100996074","https://openalex.org/W3103900521","https://openalex.org/W4205228770","https://openalex.org/W4251083239","https://openalex.org/W6639136290","https://openalex.org/W6644033017","https://openalex.org/W6690988758"],"related_works":["https://openalex.org/W1602935914","https://openalex.org/W2517522545","https://openalex.org/W2940352612","https://openalex.org/W2985255603","https://openalex.org/W2132006845","https://openalex.org/W2506054879","https://openalex.org/W1552413915","https://openalex.org/W2898467242","https://openalex.org/W2906282392","https://openalex.org/W172103997"],"abstract_inverted_index":{"Auction":[0],"based":[1,106],"participant":[2,108],"selection":[3,109],"has":[4],"been":[5],"widely":[6],"used":[7],"for":[8],"mobile":[9,21,85],"crowd":[10,22],"sensing":[11,23,82],"(MCS)":[12],"to":[13,65,116],"achieve":[14],"user":[15],"incentive":[16],"and":[17,48,73,84,92,137,145],"assignment":[18],"optimization.":[19],"However,":[20],"problems":[24],"solved":[25],"with":[26],"auction-based":[27],"approaches":[28],"usually":[29],"involve":[30],"participants'":[31,50,118],"privacy":[32,69],"concerns":[33],"because":[34],"a":[35,71,103],"participant's":[36],"bids":[37,51,119],"may":[38,52],"contain":[39],"her":[40],"private":[41,55],"information":[42,56],"(such":[43],"as":[44,57],"location":[45],"visiting":[46],"patterns),":[47],"disclosure":[49],"disclose":[53],"their":[54],"well.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62,100],"study":[63],"how":[64],"protect":[66],"such":[67],"bid":[68],"in":[70],"temporally":[72],"spatially":[74],"dynamic":[75,88],"MCS":[76,132],"system.":[77],"We":[78],"assume":[79],"that":[80],"both":[81],"tasks":[83],"participants":[86],"have":[87],"characteristics":[89],"over":[90],"spatial":[91],"temporal":[93],"domains.":[94],"Following":[95],"the":[96,128,143,148],"classical":[97],"VCG":[98],"auction,":[99],"carefully":[101],"design":[102],"scalable":[104],"grouping":[105],"privacy-preserving":[107],"scheme,":[110],"which":[111],"leverages":[112],"Lagrange":[113],"polynomial":[114],"interpolation":[115],"perturb":[117],"within":[120],"groups.":[121],"The":[122],"proposed":[123,149],"solution":[124],"does":[125],"not":[126],"affect":[127],"operation":[129],"of":[130,147],"current":[131],"platform.":[133],"Both":[134],"theoretical":[135],"analysis":[136],"real-life":[138],"tracing":[139],"data":[140],"simulations":[141],"verify":[142],"efficiency":[144],"security":[146],"solution.":[150]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
