{"id":"https://openalex.org/W7117762561","doi":"https://doi.org/10.1109/wincom65874.2025.11313436","title":"Real-Time Sybil Attack Detection in Vehicular Networks Using Simulation-Based Machine Learning","display_name":"Real-Time Sybil Attack Detection in Vehicular Networks Using Simulation-Based Machine Learning","publication_year":2025,"publication_date":"2025-11-25","ids":{"openalex":"https://openalex.org/W7117762561","doi":"https://doi.org/10.1109/wincom65874.2025.11313436"},"language":null,"primary_location":{"id":"doi:10.1109/wincom65874.2025.11313436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wincom65874.2025.11313436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 12th International Conference on Wireless Networks and Mobile Communications (WINCOM)","raw_type":"proceedings-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/A5075934014","display_name":"Wasim A. Ali","orcid":"https://orcid.org/0000-0002-4602-461X"},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Wasim A. Ali","raw_affiliation_strings":["Politecnico di Bari,Bari,Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Bari,Bari,Italy","institution_ids":["https://openalex.org/I68618741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053756884","display_name":"Mohsen S. Alsaadi","orcid":null},"institutions":[{"id":"https://openalex.org/I185163786","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74","country_code":"SA","type":"education","lineage":["https://openalex.org/I185163786"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mohsen S. Alsaadi","raw_affiliation_strings":["King Abdulaziz University,Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Abdulaziz University,Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036373281","display_name":"Mich\u00e8le Roccotelli","orcid":"https://orcid.org/0000-0003-3045-8920"},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Roccotelli","raw_affiliation_strings":["Politecnico di Bari,Bari,Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Bari,Bari,Italy","institution_ids":["https://openalex.org/I68618741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075649674","display_name":"Agostino Marcello Mangini","orcid":"https://orcid.org/0000-0001-6850-6153"},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Agostino Marcello Mangini","raw_affiliation_strings":["Politecnico di Bari,Bari,Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Bari,Bari,Italy","institution_ids":["https://openalex.org/I68618741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071850448","display_name":"Maria Pia Fanti","orcid":"https://orcid.org/0000-0002-8612-1852"},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Pia Fanti","raw_affiliation_strings":["Politecnico di Bari,Bari,Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Bari,Bari,Italy","institution_ids":["https://openalex.org/I68618741"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075934014"],"corresponding_institution_ids":["https://openalex.org/I68618741"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.60296948,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9505000114440918,"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":0.9505000114440918,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.004800000227987766,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.003800000064074993,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sybil-attack","display_name":"Sybil attack","score":0.8317000269889832},{"id":"https://openalex.org/keywords/vehicular-ad-hoc-network","display_name":"Vehicular ad hoc network","score":0.5321000218391418},{"id":"https://openalex.org/keywords/wireless-ad-hoc-network","display_name":"Wireless ad hoc network","score":0.5055999755859375},{"id":"https://openalex.org/keywords/dashboard","display_name":"Dashboard","score":0.4569999873638153},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.4507000148296356},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.42910000681877136}],"concepts":[{"id":"https://openalex.org/C2777505653","wikidata":"https://www.wikidata.org/wiki/Q4470796","display_name":"Sybil attack","level":3,"score":0.8317000269889832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7057999968528748},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5968999862670898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5435000061988831},{"id":"https://openalex.org/C192448918","wikidata":"https://www.wikidata.org/wiki/Q682677","display_name":"Vehicular ad hoc network","level":4,"score":0.5321000218391418},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.5055999755859375},{"id":"https://openalex.org/C33499554","wikidata":"https://www.wikidata.org/wiki/Q1417134","display_name":"Dashboard","level":2,"score":0.4569999873638153},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4507000148296356},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.42910000681877136},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.3849000036716461},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3361999988555908},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3352999985218048},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.29580000042915344},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2953999936580658},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.28299999237060547},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wincom65874.2025.11313436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wincom65874.2025.11313436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 12th International Conference on Wireless Networks and Mobile Communications (WINCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.427560955286026}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2121206583","https://openalex.org/W2167831805","https://openalex.org/W2801555828","https://openalex.org/W3045918422","https://openalex.org/W3085136890","https://openalex.org/W3211089035","https://openalex.org/W4229046377","https://openalex.org/W4296761062","https://openalex.org/W4392406012","https://openalex.org/W4393218575","https://openalex.org/W4399267718","https://openalex.org/W4401630981","https://openalex.org/W4401694158","https://openalex.org/W4406658198","https://openalex.org/W4409762842"],"related_works":[],"abstract_inverted_index":{"Vehicular":[0],"Ad":[1],"Hoc":[2],"Networks":[3],"(VANETs)":[4],"play":[5],"a":[6,72,113,142,165],"vital":[7],"role":[8],"in":[9,85,174,187,197],"enabling":[10,135],"Intelligent":[11],"Transportation":[12],"Systems":[13],"(ITS)":[14],"by":[15],"allowing":[16],"communication":[17,64],"between":[18,21],"vehicles":[19,22],"and":[20,23,38,61,65,93,109,141,148,163],"infrastructure.":[24],"However,":[25],"these":[26],"networks":[27],"are":[28,124],"vulnerable":[29],"to":[30,57,117,194],"various":[31],"attacks":[32,186],"that":[33,81,180],"can":[34,170],"threaten":[35],"the":[36,41,47,59,133,155,181],"integrity":[37],"safety":[39],"of":[40,129,151],"network.":[42],"One":[43],"major":[44],"attack":[45,161],"is":[46],"Sybil":[48,152,160,185],"attack,":[49],"where":[50],"malicious":[51],"actors":[52],"create":[53],"multiple":[54],"fake":[55],"identities":[56],"confuse":[58],"network":[60],"disrupt":[62],"normal":[63],"activities.":[66],"In":[67],"this":[68,175],"work,":[69],"we":[70],"develop":[71],"real-time":[73],"detection":[74,119,150],"framework":[75,182],"based":[76],"on":[77,127],"machine":[78],"learning":[79],"(ML)":[80],"processes":[82],"data":[83,130],"generated":[84],"real":[86],"time":[87],"from":[88],"simulations":[89],"using":[90],"OMNeT++,":[91],"Veins,":[92],"Simulation":[94],"Urban":[95],"Mobility":[96],"frameworks.":[97],"Our":[98,177],"approach":[99],"leverages":[100],"four":[101],"ML":[102],"models:":[103],"Random":[104],"Forest,":[105],"Gradient":[106],"Boosting,":[107],"XGBoost,":[108],"LightGBM,":[110],"along":[111],"with":[112],"stacking":[114],"ensemble":[115],"model":[116],"enhance":[118,195],"accuracy.":[120],"The":[121],"proposed":[122],"models":[123],"periodically":[125],"trained":[126],"batches":[128],"collected":[131],"during":[132],"simulation,":[134],"continuous":[136,146],"learning.":[137],"Adaptive":[138],"training":[139],"strategies":[140],"web-based":[143],"dashboard":[144],"enable":[145],"monitoring":[147],"effective":[149],"attacks.":[153],"Notably,":[154],"simulation":[156],"successfully":[157],"replicates":[158],"realistic":[159],"scenarios":[162],"yields":[164],"new":[166],"labeled":[167],"dataset,":[168],"which":[169],"support":[171],"future":[172],"research":[173],"area.":[176],"results":[178],"demonstrate":[179],"effectively":[183],"detects":[184],"dynamic":[188],"vehicle":[189],"networks,":[190],"highlighting":[191],"its":[192],"potential":[193],"security":[196],"ITS.":[198]},"counts_by_year":[],"updated_date":"2026-01-01T23:40:50.289205","created_date":"2025-12-31T00:00:00"}
