{"id":"https://openalex.org/W4401943221","doi":"https://doi.org/10.1109/tsc.2024.3451236","title":"DNF-BLPP: An Effective Deep Neuro-Fuzzy based Bilateral Location Privacy-Preserving Scheme for Service in Spatiotemporal Crowdsourcing","display_name":"DNF-BLPP: An Effective Deep Neuro-Fuzzy based Bilateral Location Privacy-Preserving Scheme for Service in Spatiotemporal Crowdsourcing","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401943221","doi":"https://doi.org/10.1109/tsc.2024.3451236"},"language":"en","primary_location":{"id":"doi:10.1109/tsc.2024.3451236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2024.3451236","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Services 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/A5102718639","display_name":"Zihui Sun","orcid":"https://orcid.org/0009-0004-2762-7126"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihui Sun","raw_affiliation_strings":["School of Electronic Information, Central South University, ChangSha, China","School of Electronic Information, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Central South University, ChangSha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Electronic Information, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075435434","display_name":"Anfeng Liu","orcid":"https://orcid.org/0000-0001-5190-4761"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anfeng Liu","raw_affiliation_strings":["School of Electronic Information, Central South University, ChangSha, China","School of Electronic Information, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Central South University, ChangSha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Electronic Information, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103216531","display_name":"Naixue Xiong","orcid":"https://orcid.org/0000-0002-0394-4635"},"institutions":[{"id":"https://openalex.org/I162709352","display_name":"Sul Ross State University","ror":"https://ror.org/03x7qhw59","country_code":"US","type":"education","lineage":["https://openalex.org/I162709352"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neal N. Xiong","raw_affiliation_strings":["Department of Computer Science and Mathematics, Sul Ross State University, Alpine, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, Sul Ross State University, Alpine, TX, USA","institution_ids":["https://openalex.org/I162709352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657575","display_name":"Shaobo Zhang","orcid":"https://orcid.org/0000-0001-7980-9651"},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaobo Zhang","raw_affiliation_strings":["School of Computer Science and Engineering of the Hunan University of Science and Technology, Xiangtan, Guangdong, China","School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering of the Hunan University of Science and Technology, Xiangtan, Guangdong, China","institution_ids":["https://openalex.org/I121296143"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China","institution_ids":["https://openalex.org/I121296143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115695409","display_name":"Tian Wang","orcid":"https://orcid.org/0000-0002-3975-4729"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Wang","raw_affiliation_strings":["Department of Artificial Intelligence and Future Networks, Beijing Normal University &amp; UIC, Zhuhai, China","Department of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Future Networks, Beijing Normal University &amp; UIC, Zhuhai, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Department of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102718639"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":0.4301,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72341136,"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":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9995999932289124,"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":0.9995999932289124,"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":0.998199999332428,"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":0.9975000023841858,"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":0.87265545129776},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8149306774139404},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6950300335884094},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.49711182713508606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4705800414085388},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37651053071022034},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3314664661884308},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15178394317626953}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.87265545129776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8149306774139404},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6950300335884094},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.49711182713508606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4705800414085388},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37651053071022034},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3314664661884308},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15178394317626953},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsc.2024.3451236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2024.3451236","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Services Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2654394916","display_name":null,"funder_award_id":"62272162","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5888125704","display_name":null,"funder_award_id":"62072475","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1583075929","https://openalex.org/W2079204536","https://openalex.org/W2127347346","https://openalex.org/W2605264395","https://openalex.org/W2775562353","https://openalex.org/W2921551248","https://openalex.org/W2946487559","https://openalex.org/W2946984295","https://openalex.org/W2952758634","https://openalex.org/W2976292455","https://openalex.org/W3008550439","https://openalex.org/W3020067472","https://openalex.org/W3044672725","https://openalex.org/W3047004582","https://openalex.org/W3126444545","https://openalex.org/W3135483657","https://openalex.org/W3160147183","https://openalex.org/W3161757600","https://openalex.org/W3182346119","https://openalex.org/W3196292536","https://openalex.org/W3201268413","https://openalex.org/W3206352285","https://openalex.org/W3209836183","https://openalex.org/W3211875619","https://openalex.org/W4205754567","https://openalex.org/W4212773425","https://openalex.org/W4226227702","https://openalex.org/W4285185553","https://openalex.org/W4285204894","https://openalex.org/W4285225591","https://openalex.org/W4293336299","https://openalex.org/W4301430327","https://openalex.org/W4312652585","https://openalex.org/W4313307842","https://openalex.org/W4318041137","https://openalex.org/W4319990047","https://openalex.org/W4366978217","https://openalex.org/W4383200252","https://openalex.org/W4385804386","https://openalex.org/W4386246964","https://openalex.org/W4387917756","https://openalex.org/W4390813575"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3207526114"],"abstract_inverted_index":{"Mobile":[0],"Crowd":[1],"Sensing":[2],"(MCS)":[3],"is":[4,155,185],"an":[5],"emerging":[6],"paradigm":[7],"that":[8,100,172],"constructs":[9],"various":[10],"services":[11,86],"by":[12],"recruiting":[13],"massive":[14],"workers":[15],"in":[16,39,87,191],"edge":[17],"networks":[18],"to":[19,84,110,137,157,180],"sense":[20],"data.":[21],"However,":[22],"ensuring":[23,119],"Quality-of-Service":[24],"(QoS)":[25],"while":[26,122],"preserving":[27],"bilateral":[28],"location":[29,52,103,182],"privacy":[30,49,120],"remains":[31],"a":[32,75,96,133,149,177],"critical":[33],"challenge":[34],"for":[35,125],"effective":[36],"service":[37],"provisioning":[38],"the":[40,56,102,116,139,173,188],"context":[41],"of":[42,58,104],"spatiotemporal":[43,88],"crowdsourcing.":[44,89],"Previous":[45],"studies":[46],"have":[47],"achieved":[48],"preservation":[50,121],"through":[51],"obfuscation,":[53],"which":[54],"has":[55,176],"problem":[57,142],"low":[59],"task-worker":[60,196],"matching":[61,197],"rate,":[62,198],"and":[63,107,168,184,200],"data":[64,127,161],"loss":[65],"adversely":[66],"affected":[67],"QoS.":[68],"To":[69],"tackle":[70],"this":[71,91],"issue,":[72],"we":[73,93,130],"propose":[74],"Deep":[76],"Neuro-Fuzzy":[77],"based":[78,162],"Bilateral":[79],"Location":[80],"Privacy-Preserving":[81],"(DNF-BLPP)":[82],"scheme":[83,175],"construct":[85],"In":[90],"article,":[92],"first":[94],"present":[95],"novel":[97],"obfuscation":[98],"strategy":[99],"obfuscates":[101],"each":[105],"task":[106],"worker":[108,140],"respectively":[109],"<inline-formula><tex-math":[111],"notation=\"LaTeX\">${\\rm{\\lambda":[112],"}}$</tex-math></inline-formula>":[113],"locations":[114],"with":[115],"highest":[117],"correlation,":[118],"providing":[123],"assurance":[124],"accurate":[126],"recovery.":[128],"Then,":[129],"further":[131],"introduce":[132],"deep":[134],"neural-fuzzy":[135],"approach":[136],"solve":[138],"selection":[141],"under":[143],"obfuscated":[144],"locations.":[145],"Based":[146],"on":[147,163],"that,":[148],"Non-negative":[150],"Constraint":[151],"Matrix":[152],"Factorization":[153],"algorithm":[154],"employed":[156],"accurately":[158],"impute":[159],"missing":[160],"time-space":[164],"correlation.":[165],"Theoretical":[166],"analysis":[167],"extensive":[169],"simulations":[170],"show":[171],"proposed":[174],"strong":[178],"ability":[179],"protect":[181],"privacy,":[183],"better":[186],"than":[187],"state-of-the-art":[189],"schemes":[190],"performance":[192],"indicators":[193],"such":[194],"as":[195],"QoS":[199],"computational":[201],"efficiency.":[202]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}