{"id":"https://openalex.org/W4408100171","doi":"https://doi.org/10.1109/tcss.2025.3543289","title":"DRL-UPPS: User Trajectory Privacy Protection Strategy Based on Deep Reinforcement Learning in Mobile Crowdsensing","display_name":"DRL-UPPS: User Trajectory Privacy Protection Strategy Based on Deep Reinforcement Learning in Mobile Crowdsensing","publication_year":2025,"publication_date":"2025-03-03","ids":{"openalex":"https://openalex.org/W4408100171","doi":"https://doi.org/10.1109/tcss.2025.3543289"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2025.3543289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2025.3543289","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","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/A5112951910","display_name":"Ding He","orcid":"https://orcid.org/0009-0005-4042-024X"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ding He","raw_affiliation_strings":["School of Computer Science and Mathematics, Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-4042-024X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Mathematics, Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001192489","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0002-0677-3667"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["School of Computer Science and Mathematics, Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0677-3667","affiliations":[{"raw_affiliation_string":"School of Computer Science and Mathematics, Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030884513","display_name":"Li Xu","orcid":"https://orcid.org/0000-0002-8972-3373"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Xu","raw_affiliation_strings":["College of Computer and Cyber Security, Fujian Normal University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8972-3373","affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, Fujian Normal University, Fuzhou, China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317723","display_name":"Yanhua Liu","orcid":"https://orcid.org/0000-0002-6076-9968"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhua Liu","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6076-9968","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063256241","display_name":"Xiucai Ye","orcid":"https://orcid.org/0000-0002-5547-3919"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiucai Ye","raw_affiliation_strings":["Department of Computer Science, University of Tsukuba, Tsukuba, Japan"],"raw_orcid":"https://orcid.org/0000-0002-5547-3919","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.3626,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.96370483,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"12","issue":"6","first_page":"4241","last_page":"4253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9857000112533569,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9857000112533569,"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"}},{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9571999907493591,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.8082112073898315},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7185267210006714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6636742353439331},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.6173758506774902},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5356108546257019},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5224030017852783},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.45130762457847595},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.4194454550743103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2909446954727173}],"concepts":[{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.8082112073898315},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7185267210006714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6636742353439331},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.6173758506774902},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5356108546257019},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5224030017852783},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.45130762457847595},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.4194454550743103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2909446954727173},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2025.3543289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2025.3543289","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G216400755","display_name":null,"funder_award_id":"61902069","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3051878211","display_name":null,"funder_award_id":"62471139","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":43,"referenced_works":["https://openalex.org/W142564960","https://openalex.org/W2031674781","https://openalex.org/W2056773559","https://openalex.org/W2082894754","https://openalex.org/W2136317921","https://openalex.org/W2140251882","https://openalex.org/W2141854027","https://openalex.org/W2172041433","https://openalex.org/W2911978475","https://openalex.org/W3013230133","https://openalex.org/W3126033163","https://openalex.org/W3173282679","https://openalex.org/W3193971088","https://openalex.org/W4200542165","https://openalex.org/W4206963665","https://openalex.org/W4210406404","https://openalex.org/W4226321645","https://openalex.org/W4285118787","https://openalex.org/W4294612863","https://openalex.org/W4296425679","https://openalex.org/W4309764941","https://openalex.org/W4312221876","https://openalex.org/W4315644021","https://openalex.org/W4318955904","https://openalex.org/W4360603887","https://openalex.org/W4364302108","https://openalex.org/W4383428008","https://openalex.org/W4383500873","https://openalex.org/W4386590851","https://openalex.org/W4387521180","https://openalex.org/W4388010257","https://openalex.org/W4389896108","https://openalex.org/W4390457514","https://openalex.org/W4390619548","https://openalex.org/W4391257285","https://openalex.org/W4392382293","https://openalex.org/W4398201683","https://openalex.org/W4399993913","https://openalex.org/W4401379832","https://openalex.org/W4401749065","https://openalex.org/W4402265256","https://openalex.org/W4402448499","https://openalex.org/W4403721861"],"related_works":["https://openalex.org/W2973520705","https://openalex.org/W2116352395","https://openalex.org/W4402265256","https://openalex.org/W3005495741","https://openalex.org/W4407847986","https://openalex.org/W4205647079","https://openalex.org/W3022534164","https://openalex.org/W4389690957","https://openalex.org/W4396832952","https://openalex.org/W3046095319"],"abstract_inverted_index":{"User":[0],"trajectories":[1],"are":[2,168],"denser":[3],"and":[4,110,154,158,184,204],"highly":[5],"dynamic":[6],"in":[7,29,55,144],"mobile":[8],"crowdsensing":[9],"(MCS)":[10],"system,":[11],"rendering":[12],"traditional":[13],"privacy":[14,25,45,64,73,86,94,119,128,139,157,182,189,198],"budget":[15,87,95,140],"allocation":[16,88],"schemes":[17],"insufficient.":[18],"Additionally,":[19],"the":[20,72,76,133,138,150,188],"protection":[21,46,65,120,151,183,199],"of":[22,152,165],"semantic":[23,126,155],"location":[24,127,156],"is":[26,53,68,91,96,123],"often":[27],"neglected":[28],"these":[30,40],"schemes,":[31],"making":[32],"them":[33],"vulnerable":[34],"to":[35,70,104,107,141],"inference":[36],"attacks.":[37,190],"To":[38],"address":[39],"deficiencies,":[41],"a":[42,59,82,115,145,162],"user":[43,62,118],"trajectory":[44,63,78],"strategy":[47,121],"based":[48,117,170],"on":[49,171],"deep":[50,83,100],"reinforcement":[51,84,101],"learning":[52,102],"proposed":[54],"this":[56],"article.":[57],"First,":[58],"differential":[60],"privacy-based":[61],"algorithm":[66,89],"(DP-upps)":[67],"designed":[69],"protect":[71],"by":[74,99,201,207],"perturbing":[75],"extracted":[77],"feature":[79],"points.":[80],"Then,":[81],"learning-based":[85],"(DRL-pbas)":[90],"introduced.":[92],"The":[93,174],"dynamically":[97],"adjusted":[98],"option":[103],"continuously":[105],"adapt":[106],"environmental":[108],"changes":[109],"maximize":[111],"benefits.":[112],"After":[113],"that,":[114],"DRL-pbas":[116],"(DRL-UPPS)":[122],"proposed,":[124],"integrating":[125],"protection.":[129],"This":[130],"approach":[131],"combines":[132],"previous":[134],"two":[135],"algorithms,":[136],"allowing":[137],"be":[142],"allocated":[143],"way":[146],"that":[147,177],"effectively":[148,180],"balances":[149],"physical":[153],"data":[159,185,205],"quality.":[160],"Ultimately,":[161],"large":[163],"number":[164],"simulation":[166],"experiments":[167,175],"conducted":[169],"real":[172],"datasets.":[173],"demonstrate":[176],"DRL-UPPS":[178,195],"can":[179],"balance":[181],"quality,":[186],"resisting":[187],"Compared":[191],"with":[192],"other":[193],"strategies,":[194],"improves":[196],"comprehensive":[197],"capability":[200],"approximately":[202,208],"10%":[203],"utility":[206],"8%.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}