{"id":"https://openalex.org/W4416942458","doi":"https://doi.org/10.1002/cpe.70488","title":"RDPP: Vehicle Trajectory Data Protection Scheme Combining Regional Realizability and Deep Learning","display_name":"RDPP: Vehicle Trajectory Data Protection Scheme Combining Regional Realizability and Deep Learning","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W4416942458","doi":"https://doi.org/10.1002/cpe.70488"},"language":"en","primary_location":{"id":"doi:10.1002/cpe.70488","is_oa":false,"landing_page_url":"https://doi.org/10.1002/cpe.70488","pdf_url":null,"source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","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/A5100460776","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0002-3724-2068"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wang Hui","raw_affiliation_strings":["School of Software Henan Polytechnic University  Jiaozuo China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Henan Polytechnic University  Jiaozuo China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342511","display_name":"Haiyang Li","orcid":"https://orcid.org/0000-0002-2225-498X"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyang Li","raw_affiliation_strings":["School of Computer Science and Technology Henan Polytechnic University  Jiaozuo China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology Henan Polytechnic University  Jiaozuo China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012851204","display_name":"Zihao Shen","orcid":"https://orcid.org/0000-0003-3541-7888"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Shen","raw_affiliation_strings":["School of Computer Science and Technology Henan Polytechnic University  Jiaozuo China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology Henan Polytechnic University  Jiaozuo China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087830877","display_name":"Peiqian Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiqian Liu","raw_affiliation_strings":["School of Software Henan Polytechnic University  Jiaozuo China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Henan Polytechnic University  Jiaozuo China","institution_ids":["https://openalex.org/I4210166499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100460776"],"corresponding_institution_ids":["https://openalex.org/I4210166499"],"apc_list":{"value":4740,"currency":"USD","value_usd":4740},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.351063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.2621000111103058,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.2621000111103058,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.13269999623298645,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.09179999679327011,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/realizability","display_name":"Realizability","score":0.8989999890327454},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7960000038146973},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5253000259399414},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5252000093460083},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4799000024795532},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4059000015258789}],"concepts":[{"id":"https://openalex.org/C2776378722","wikidata":"https://www.wikidata.org/wiki/Q3454417","display_name":"Realizability","level":2,"score":0.8989999890327454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.83160001039505},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7960000038146973},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5253000259399414},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5252000093460083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5159000158309937},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4799000024795532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42419999837875366},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4059000015258789},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.384799987077713},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2913999855518341},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.29030001163482666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28200000524520874},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.28139999508857727},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.26080000400543213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/cpe.70488","is_oa":false,"landing_page_url":"https://doi.org/10.1002/cpe.70488","pdf_url":null,"source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2035311901","https://openalex.org/W2295541421","https://openalex.org/W2808478781","https://openalex.org/W2911978475","https://openalex.org/W3003710153","https://openalex.org/W3038954512","https://openalex.org/W3048236912","https://openalex.org/W3083757457","https://openalex.org/W3127506658","https://openalex.org/W3170604354","https://openalex.org/W3201675188","https://openalex.org/W3209392453","https://openalex.org/W4246947216","https://openalex.org/W4296819931","https://openalex.org/W4298006441","https://openalex.org/W4315644021","https://openalex.org/W4377984664","https://openalex.org/W4382407475","https://openalex.org/W4386920512","https://openalex.org/W4387308345","https://openalex.org/W4390843517","https://openalex.org/W4394686975","https://openalex.org/W4398201683","https://openalex.org/W4400192090","https://openalex.org/W4400277702","https://openalex.org/W4401357329","https://openalex.org/W4413556431"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"With":[1],"the":[2,6,15,78,91,100,113,117,126,136,148,153,200,220,224,233],"rapid":[3],"development":[4],"of":[5,8,19,28,90,204,223],"Internet":[7],"Vehicles":[9],"(IoV)":[10],"and":[11,17,53,66,75,128,140,174,184],"location\u2010based":[12],"services":[13],"(LBS),":[14],"privacy":[16,30,120,143,176,183,205],"security":[18],"trajectory":[20,29,46,79,92,101,106,138,149],"data":[21,47,93,107,150,212],"have":[22],"become":[23],"a":[24,44,58,86,141,180],"top":[25],"priority.":[26],"Disclosure":[27],"may":[31],"pose":[32],"many":[33],"risks":[34],"to":[35,71,104,134,147,152],"users.":[36],"To":[37],"solve":[38],"this":[39,41,83,162],"problem,":[40],"paper":[42,84],"proposes":[43],"vehicle":[45],"protection":[48,206],"scheme":[49,226],"combining":[50],"regional":[51,59,88,167],"realizability":[52,60,89,168],"deep":[54,171],"learning":[55],"(RDPP).":[56],"Firstly,":[57],"processing":[61,169],"is":[62,109,132,145,207,227,230],"proposed,":[63],"which":[64,229],"divides":[65],"covers":[67],"geographical":[68],"areas":[69],"according":[70,151],"road":[72],"network":[73],"density":[74,129,155],"then":[76],"defines":[77],"generation":[80,94,102],"restrictions.":[81],"Secondly,":[82],"proposed":[85,118,201,225],"combined":[87],"model":[95],"(RRP\u2010TrajGAN)":[96],"that":[97,108,194],"can":[98,214],"combine":[99],"restrictions":[103],"generate":[105],"in":[110],"line":[111],"with":[112,158,170,196],"real":[114],"situation.":[115],"Finally,":[116],"personalized":[119],"budget":[121,144,177],"allocation":[122],"method":[123,130],"based":[124],"on":[125],"clustering":[127,154],"(CD\u2010DP)":[131],"used":[133],"cluster":[135],"generated":[137],"data,":[139],"reasonable":[142],"allocated":[146],"attribute.":[156],"Compared":[157],"more":[159],"advanced":[160],"schemes,":[161,199],"paper's":[163],"approach":[164],"uniquely":[165],"combines":[166],"generative":[172],"models":[173],"density\u2010based":[175],"allocation,":[178],"achieving":[179],"balance":[181],"between":[182],"utility":[185],"without":[186],"sacrificing":[187],"real\u2010world":[188],"feasibility.":[189],"The":[190],"experimental":[191],"results":[192],"show":[193],"compared":[195],"other":[197],"existing":[198],"scheme's":[202],"degree":[203],"improved":[208],"by":[209],"11.88%\u201339.82%,":[210],"while":[211],"availability":[213],"be":[215],"well":[216],"guaranteed.":[217],"In":[218],"addition,":[219],"time":[221],"complexity":[222],",":[228],"better":[231],"than":[232],"comparison":[234],"scheme.":[235]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-12-03T00:00:00"}