{"id":"https://openalex.org/W4283211270","doi":"https://doi.org/10.1109/infocom48880.2022.9796827","title":"Privacy-Preserving Online Task Assignment in Spatial Crowdsourcing: A Graph-based Approach","display_name":"Privacy-Preserving Online Task Assignment in Spatial Crowdsourcing: A Graph-based Approach","publication_year":2022,"publication_date":"2022-05-02","ids":{"openalex":"https://openalex.org/W4283211270","doi":"https://doi.org/10.1109/infocom48880.2022.9796827"},"language":"en","primary_location":{"id":"doi:10.1109/infocom48880.2022.9796827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom48880.2022.9796827","pdf_url":null,"source":{"id":"https://openalex.org/S4363607980","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","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/A5102722092","display_name":"Hengzhi Wang","orcid":"https://orcid.org/0000-0002-3334-8308"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hengzhi Wang","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,China","College of Computer Science and Technology, Jilin University, China","Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033953325","display_name":"En Wang","orcid":"https://orcid.org/0000-0001-6112-2923"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"En Wang","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,China","College of Computer Science and Technology, Jilin University, China","Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045527959","display_name":"Yongjian Yang","orcid":"https://orcid.org/0000-0002-0056-3626"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjian Yang","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,China","College of Computer Science and Technology, Jilin University, China","Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600528","display_name":"Jie Wu","orcid":"https://orcid.org/0000-0002-3472-1717"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Wu","raw_affiliation_strings":["Temple University,Department of Computer and Information Sciences,USA","Department of Computer and Information Sciences, Temple University, USA"],"affiliations":[{"raw_affiliation_string":"Temple University,Department of Computer and Information Sciences,USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042212040","display_name":"Falko Dressler","orcid":"https://orcid.org/0000-0002-1989-1750"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Falko Dressler","raw_affiliation_strings":["TU Berlin,School of Electrical Engineering and Computer Science,German","School of Electrical Engineering and Computer Science, TU Berlin, German"],"affiliations":[{"raw_affiliation_string":"TU Berlin,School of Electrical Engineering and Computer Science,German","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, TU Berlin, German","institution_ids":["https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102722092"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"],"apc_list":null,"apc_paid":null,"fwci":10.8047,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.99383192,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"570","last_page":"579"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9979000091552734,"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":0.9977999925613403,"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/crowdsourcing","display_name":"Crowdsourcing","score":0.8359447121620178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8260741233825684},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6367447376251221},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5967620611190796},{"id":"https://openalex.org/keywords/obfuscation","display_name":"Obfuscation","score":0.5853254795074463},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.47453486919403076},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.41558754444122314},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3926779329776764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35801389813423157},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28240352869033813},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2558847665786743},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1584050953388214}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.8359447121620178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8260741233825684},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6367447376251221},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5967620611190796},{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.5853254795074463},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.47453486919403076},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.41558754444122314},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3926779329776764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35801389813423157},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28240352869033813},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2558847665786743},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1584050953388214},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom48880.2022.9796827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom48880.2022.9796827","pdf_url":null,"source":{"id":"https://openalex.org/S4363607980","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320318547","display_name":"Baidu","ror":"https://ror.org/03vs3wt56"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2031323533","https://openalex.org/W2059618043","https://openalex.org/W2061872629","https://openalex.org/W2067633806","https://openalex.org/W2071702404","https://openalex.org/W2082894754","https://openalex.org/W2085828369","https://openalex.org/W2110953678","https://openalex.org/W2151489238","https://openalex.org/W2196824873","https://openalex.org/W2295817712","https://openalex.org/W2479818511","https://openalex.org/W2525830997","https://openalex.org/W2604253054","https://openalex.org/W2612758347","https://openalex.org/W2751927106","https://openalex.org/W2762393395","https://openalex.org/W2794925497","https://openalex.org/W2884206572","https://openalex.org/W2918718461","https://openalex.org/W2964280086","https://openalex.org/W2968301466","https://openalex.org/W3005064273","https://openalex.org/W3030401096","https://openalex.org/W3032923651","https://openalex.org/W3033003550","https://openalex.org/W3034062634","https://openalex.org/W3047040106","https://openalex.org/W3138807513","https://openalex.org/W3153115523","https://openalex.org/W3172975736","https://openalex.org/W4213060235","https://openalex.org/W6779239400","https://openalex.org/W6792319920"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3207526114","https://openalex.org/W4312041519"],"abstract_inverted_index":{"Recently,":[0],"the":[1,33,38,47,70,80,121,147,152,173,190,195],"growing":[2],"popularity":[3],"of":[4,16,142,154],"Spatial":[5],"Crowd-sourcing":[6],"(SC),":[7],"allowing":[8],"untrusted":[9],"platforms":[10],"to":[11,57,68,88,112,138],"obtain":[12],"a":[13,66,102,130,162,178],"great":[14],"quantity":[15],"information":[17],"about":[18],"workers":[19,42,58,96,143],"and":[20,43,52,97,144,176],"tasks\u2019":[21,98],"locations,":[22],"has":[23],"raised":[24],"numerous":[25],"privacy":[26,77],"concerns.":[27],"In":[28],"this":[29,126],"paper,":[30],"we":[31,128,160],"investigate":[32],"privacy-preserving":[34],"task":[35,62,72,165],"assignment":[36,122,175],"in":[37,49,91],"online":[39,61],"scenario,":[40],"where":[41,146],"tasks":[44,53,90,108],"arrive":[45],"at":[46],"platform":[48],"real":[50,92,140],"time":[51,93],"should":[54,117],"be":[55,110,118],"assigned":[56,111],"immediately.":[59],"Traditional":[60],"assignments":[63],"usually":[64],"make":[65],"benchmark":[67,81],"decide":[69],"following":[71],"assignment.":[73],"However,":[74],"when":[75,106],"location":[76],"is":[78,101],"considered,":[79,119],"does":[82,149],"not":[83,150],"work":[84],"anymore.":[85],"Hence,":[86],"how":[87],"assign":[89],"based":[94,134,183],"on":[95,184],"obfuscated":[99],"locations":[100,141],"challenging":[103],"problem.":[104],"Especially":[105],"many":[107],"could":[109,170],"one":[113],"worker,":[114],"path":[115],"planning":[116],"making":[120],"more":[123],"challenging.":[124],"To":[125],"end,":[127],"propose":[129],"Planar":[131],"Laplace":[132],"distribution":[133],"Privacy":[135],"mechanism":[136,167],"(PLP)":[137],"obfuscate":[139],"tasks,":[145],"obfuscation":[148],"change":[151],"ranking":[153],"these":[155],"locations\u2019":[156],"relative":[157],"distances.":[158],"Furthermore,":[159],"design":[161],"Threshold-based":[163],"Online":[164],"Assignment":[166],"(TOA),":[168],"which":[169],"deal":[171],"with":[172],"one-worker-many-tasks":[174],"achieve":[177],"satisfactory":[179],"competitive":[180],"ratio.":[181],"Simulations":[182],"two":[185],"real-world":[186],"datasets":[187],"show":[188],"that":[189],"proposed":[191],"algorithm":[192],"consistently":[193],"outperforms":[194],"state-of-the-art":[196],"approach.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}