{"id":"https://openalex.org/W4297968295","doi":"https://doi.org/10.1109/cisce55963.2022.9851055","title":"Federated Learning-based Privacy-Preserving Traffic Flow Prediction Scheme for VANETs","display_name":"Federated Learning-based Privacy-Preserving Traffic Flow Prediction Scheme for VANETs","publication_year":2022,"publication_date":"2022-05-27","ids":{"openalex":"https://openalex.org/W4297968295","doi":"https://doi.org/10.1109/cisce55963.2022.9851055"},"language":"en","primary_location":{"id":"doi:10.1109/cisce55963.2022.9851055","doi":"https://doi.org/10.1109/cisce55963.2022.9851055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisce55963.2022.9851055","pdf_url":null,"source":{"id":"https://openalex.org/S4363608283","display_name":"International Conference on Communications, Information System and Computer Engineering (CISCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2022 4th International Conference on Communications, Information System and Computer Engineering (CISCE)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5112724995","display_name":"Jiawei Deng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Deng","raw_affiliation_strings":["Hubei University of Technology,School of Computer Science,Wuhan,China","School of Computer Science, Hubei University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei University of Technology,School of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052110962","display_name":"Gang Shen","orcid":"https://orcid.org/0000-0002-2783-0907","observed_orcids":["https://orcid.org/0000-0002-2783-0907"]},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Shen","raw_affiliation_strings":["Hubei University of Technology,School of Computer Science,Wuhan,China","School of Computer Science, Hubei University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei University of Technology,School of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74525822"],"apc_list":null,"apc_paid":null,"fwci":4.3149,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.96144879,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"374","last_page":"378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.6122999787330627,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.6122999787330627,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.31690001487731934,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.04430000111460686,"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/federated-learning","display_name":"federated learning","score":0.9020000100135803},{"id":"https://openalex.org/keywords/traffic-flow-prediction","display_name":"traffic flow prediction","score":0.8930000066757202},{"id":"https://openalex.org/keywords/vehicular-ad-hoc-networks","display_name":"vehicular ad hoc networks","score":0.9980000257492065},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"privacy preservation","score":0.925000011920929},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"long short-term memory","score":0.765999972820282},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.7490000128746033},{"id":"https://openalex.org/keywords/vehicular-network-security","display_name":"VANET security","score":0.7009999752044678},{"id":"https://openalex.org/keywords/user-privacy-protection","display_name":"user privacy protection","score":0.49799999594688416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8522748947143555},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6994234323501587},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6106123924255371},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.5772798657417297},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48420169949531555},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4456266164779663},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.43718865513801575},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4278390407562256},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.421562522649765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4167850613594055},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.41020795702934265},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3991847634315491},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32305780053138733},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.13586455583572388},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07657787203788757},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisce55963.2022.9851055","doi":"https://doi.org/10.1109/cisce55963.2022.9851055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisce55963.2022.9851055","pdf_url":null,"source":{"id":"https://openalex.org/S4363608283","display_name":"International Conference on Communications, Information System and Computer Engineering (CISCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2022 4th International Conference on Communications, Information System and Computer Engineering (CISCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7250000238418579,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"},{"score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2036785686","https://openalex.org/W2047393497","https://openalex.org/W2064675550","https://openalex.org/W2083238230","https://openalex.org/W2132172731","https://openalex.org/W2165991108","https://openalex.org/W2533328922","https://openalex.org/W2979650406","https://openalex.org/W2983222944","https://openalex.org/W3000993892","https://openalex.org/W3026125222","https://openalex.org/W3125786278"],"related_works":["https://openalex.org/W4312489316","https://openalex.org/W4391342973","https://openalex.org/W7154105568","https://openalex.org/W4401306348","https://openalex.org/W4387503881","https://openalex.org/W4388901841","https://openalex.org/W4413179867","https://openalex.org/W4410909561","https://openalex.org/W4402742713","https://openalex.org/W4391895004"],"abstract_inverted_index":{"Vehicular":[0],"ad":[1],"hoc":[2],"networks":[3],"(VANETs)":[4],"bring":[5],"us":[6],"a":[7,35],"lot":[8],"of":[9,14,23,109],"convenience.":[10],"However,":[11],"the":[12,15,21,67,94,101,107],"credibility":[13],"messages":[16],"transmitted":[17],"among":[18],"vehicles":[19],"and":[20,28,45,84,89,111],"security":[22],"VANETs":[24],"still":[25],"face":[26],"risks":[27],"challenges.":[29],"In":[30],"this":[31],"paper,":[32],"we":[33],"propose":[34],"privacy-preserving":[36],"traffic":[37,57,74,102],"flow":[38,58],"prediction":[39,59],"scheme":[40,96],"based":[41],"on":[42],"federated":[43],"learning":[44,69,77],"long":[46],"short-term":[47],"memory":[48],"recurrent":[49],"neural":[50,70],"network":[51,71],"(LSTM":[52],"RNN),":[53],"which":[54],"can":[55,97],"perform":[56],"for":[60,72,81],"VANETs.":[61],"We":[62],"use":[63],"LSTM":[64],"RNN":[65],"as":[66],"deep":[68],"predicting":[73],"flow.":[75],"Federated":[76],"framework":[78],"is":[79],"used":[80],"model":[82],"interaction":[83],"data":[85],"privacy":[86,108],"protection.":[87],"Security":[88],"performance":[90],"analysis":[91],"show":[92],"that":[93],"proposed":[95],"not":[98],"only":[99],"predict":[100],"flow,":[103],"but":[104],"also":[105],"protect":[106],"users":[110],"model.":[112]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2022-10-01T00:00:00"}
