{"id":"https://openalex.org/W4388200888","doi":"https://doi.org/10.1145/3616388.3617533","title":"Federated Learning for V2X Misbehavior Detection System in 5G Edge Networks","display_name":"Federated Learning for V2X Misbehavior Detection System in 5G Edge Networks","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4388200888","doi":"https://doi.org/10.1145/3616388.3617533"},"language":"en","primary_location":{"id":"doi:10.1145/3616388.3617533","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616388.3617533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-04836305v1/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093111345","display_name":"Hadi Yakan","orcid":"https://orcid.org/0009-0008-0784-8297"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hadi Yakan","raw_affiliation_strings":["Universit\u00e9 Paris-Saclay, Versailles, France"],"raw_orcid":"https://orcid.org/0009-0008-0784-8297","affiliations":[{"raw_affiliation_string":"Universit\u00e9 Paris-Saclay, Versailles, France","institution_ids":["https://openalex.org/I277688954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074632043","display_name":"Ilhem Fajjari","orcid":"https://orcid.org/0000-0002-4210-2051"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ilhem Fajjari","raw_affiliation_strings":["Orange Innovation, Chatillon, France"],"raw_orcid":"https://orcid.org/0000-0002-4210-2051","affiliations":[{"raw_affiliation_string":"Orange Innovation, Chatillon, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072015888","display_name":"Nadjib Aitsaadi","orcid":"https://orcid.org/0009-0007-8538-8380"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nadjib Aitsaadi","raw_affiliation_strings":["Universit\u00e9 Paris-Saclay, Versailles, France"],"raw_orcid":"https://orcid.org/0009-0007-8538-8380","affiliations":[{"raw_affiliation_string":"Universit\u00e9 Paris-Saclay, Versailles, France","institution_ids":["https://openalex.org/I277688954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075832513","display_name":"C\u00e9dric Adjih","orcid":"https://orcid.org/0000-0003-3924-5374"},"institutions":[{"id":"https://openalex.org/I4210126360","display_name":"Centre Inria de Saclay","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Cedric Adjih","raw_affiliation_strings":["Inria Saclay, Palaiseau, France","TRiBE - inTeRnet BEyond the usual (France)"],"raw_orcid":"https://orcid.org/0000-0003-3924-5374","affiliations":[{"raw_affiliation_string":"Inria Saclay, Palaiseau, France","institution_ids":["https://openalex.org/I4210126360"]},{"raw_affiliation_string":"TRiBE - inTeRnet BEyond the usual (France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"155","last_page":"163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9998000264167786,"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":0.9998000264167786,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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":0.9822999835014343,"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/computer-science","display_name":"Computer science","score":0.8165256977081299},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7492667436599731},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.7358921766281128},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.7130838632583618},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6708957552909851},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.530876636505127},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5161927342414856},{"id":"https://openalex.org/keywords/core-network","display_name":"Core network","score":0.4517882466316223},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.4355052709579468},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.41368094086647034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1974690854549408}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8165256977081299},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7492667436599731},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.7358921766281128},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7130838632583618},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6708957552909851},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.530876636505127},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5161927342414856},{"id":"https://openalex.org/C5038329","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Core network","level":2,"score":0.4517882466316223},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.4355052709579468},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.41368094086647034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1974690854549408},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3616388.3617533","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616388.3617533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04836305v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-04836305","pdf_url":"https://inria.hal.science/hal-04836305v1/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MSWiM 2023 - Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems, Oct 2023, Montreal Quebec, Canada. pp.155-163, ⟨10.1145/3616388.3617533⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04836305v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-04836305","pdf_url":"https://inria.hal.science/hal-04836305v1/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MSWiM 2023 - Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems, Oct 2023, Montreal Quebec, Canada. pp.155-163, ⟨10.1145/3616388.3617533⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388200888.pdf","grobid_xml":"https://content.openalex.org/works/W4388200888.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2062789233","https://openalex.org/W2221980827","https://openalex.org/W2903709398","https://openalex.org/W2910871229","https://openalex.org/W2997591727","https://openalex.org/W3045657906","https://openalex.org/W3094692755","https://openalex.org/W4285010868","https://openalex.org/W4292928965","https://openalex.org/W4313068580","https://openalex.org/W4319300220","https://openalex.org/W4387869555"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W632915154","https://openalex.org/W1970095541","https://openalex.org/W4321488502"],"abstract_inverted_index":{"The":[0,76],"emergence":[1],"of":[2,56,63,105,137],"5G":[3,34,57,73,91],"Cellular":[4],"Vehicle-to-Everything":[5,15],"(C-V2X)":[6],"has":[7,22],"made":[8],"it":[9,127],"the":[10,54,61,72,100],"predominant":[11],"technology":[12],"for":[13,26,129],"enabling":[14,37],"(V2X)":[16],"communications.":[17],"As":[18],"a":[19,49,64,134],"result,":[20],"this":[21,45],"created":[23],"an":[24,141],"opportunity":[25],"telecommunications":[27],"service":[28],"providers":[29],"to":[30,39,80,116],"leverage":[31],"their":[32],"pre-existing":[33],"network":[35],"infrastructure,":[36],"them":[38],"provide":[40],"Vehicle-to-Network":[41],"(V2N)":[42],"services.":[43],"In":[44],"paper,":[46],"we":[47],"propose":[48],"new":[50],"approach":[51],"that":[52,87],"enhances":[53],"security":[55],"V2N":[58],"services":[59],"through":[60],"implementation":[62],"Federated":[65,106],"Learning":[66],"V2X":[67,82,96],"misbehavior":[68],"detection":[69,147],"system":[70,78],"within":[71],"core":[74],"network.":[75],"proposed":[77,109],"aims":[79],"protect":[81],"application":[83],"servers":[84],"(V2X":[85],"ASs)":[86],"are":[88],"located":[89],"in":[90],"edge":[92],"networks":[93],"against":[94],"potential":[95],"attacks":[97],"while":[98,139],"leveraging":[99],"privacy":[101],"and":[102,119,145],"scalability":[103],"advantages":[104],"Learning.":[107],"Our":[108,131],"model":[110],"is":[111],"compared,":[112],"using":[113],"extensive":[114],"emulations,":[115],"other":[117],"centralized":[118],"distributed":[120],"approaches,":[121],"achieving":[122],"excellent":[123],"results,":[124],"which":[125],"makes":[126],"feasible":[128],"deployment.":[130],"proposal":[132],"achieved":[133],"notable":[135],"accuracy":[136],"98.4%,":[138],"scoring":[140],"impressive":[142],"99.3%":[143],"precision":[144],"96.9%":[146],"rate.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}