{"id":"https://openalex.org/W7143328320","doi":"https://doi.org/10.1109/decon67170.2025.11448093","title":"Hybrid Machine Learning Framework for Intelligent Attack Detection in VANET Environments","display_name":"Hybrid Machine Learning Framework for Intelligent Attack Detection in VANET Environments","publication_year":2025,"publication_date":"2025-12-12","ids":{"openalex":"https://openalex.org/W7143328320","doi":"https://doi.org/10.1109/decon67170.2025.11448093"},"language":"en","primary_location":{"id":"doi:10.1109/decon67170.2025.11448093","doi":"https://doi.org/10.1109/decon67170.2025.11448093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/decon67170.2025.11448093","pdf_url":null,"source":{"id":"https://openalex.org/S7407096514","display_name":"International Conference on Data, Energy and Communication Networks (DECoN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Data, Energy and Communication Networks (DECoN)","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/A5025170253","display_name":"Sabiya Fatima","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sabiya Fatima","raw_affiliation_strings":["Axis Institute of Technology and Management,Department of Computer Science and Engineering,Kanpur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Axis Institute of Technology and Management,Department of Computer Science and Engineering,Kanpur,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085200721","display_name":"Pratima Upadhyay","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405258421","display_name":"P P Savani University","ror":"https://ror.org/00mm29v34","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405258421"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pratima Upadhyay","raw_affiliation_strings":["PP Savani University,Department of Computer Science and Engineering, School of Engineering,Surat,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PP Savani University,Department of Computer Science and Engineering, School of Engineering,Surat,India","institution_ids":["https://openalex.org/I4405258421"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130997410","display_name":"Prabhat Sharma","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prabhat Sharma","raw_affiliation_strings":["Oriental Institute of Science and Technology,Department of Electronics and Communication Engineering,Bhopal,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oriental Institute of Science and Technology,Department of Electronics and Communication Engineering,Bhopal,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001013352","display_name":"Sanjay Kumar Khadagade","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sanjay Kumar Khadagade","raw_affiliation_strings":["Oriental Institute of Science and Technology,Department of Electronics and Communication Engineering,Bhopal,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oriental Institute of Science and Technology,Department of Electronics and Communication Engineering,Bhopal,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130953915","display_name":"Saket Bihari","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saket Bihari","raw_affiliation_strings":["LNCT University,Department of Electrical Engineering,Bhopal,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LNCT University,Department of Electrical Engineering,Bhopal,India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010087135","display_name":"Rovin Tiwari","orcid":"https://orcid.org/0000-0001-8828-2855","observed_orcids":["https://orcid.org/0000-0001-8828-2855"]},"institutions":[{"id":"https://openalex.org/I196622127","display_name":"Rajiv Gandhi Technical University","ror":"https://ror.org/03xmje391","country_code":"IN","type":"education","lineage":["https://openalex.org/I196622127"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rovin Tiwari","raw_affiliation_strings":["RGPV,Department of Electronics and Communication Engineering,Bhopal,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RGPV,Department of Electronics and Communication Engineering,Bhopal,India","institution_ids":["https://openalex.org/I196622127"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1768,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.9440617,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"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":0.9775000214576721,"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":0.9775000214576721,"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":0.018799999728798866,"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/T11498","display_name":"Security in Wireless Sensor Networks","score":0.0010999999940395355,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/vehicular-ad-hoc-networks","display_name":"vehicular ad hoc networks","score":0.996999979019165},{"id":"https://openalex.org/keywords/attack-detection","display_name":"attack detection","score":0.7710000276565552},{"id":"https://openalex.org/keywords/hybrid-machine-learning","display_name":"hybrid machine learning","score":0.6790000200271606},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9890000224113464},{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.8650000095367432},{"id":"https://openalex.org/keywords/denial-of-service-attacks","display_name":"denial-of-service attacks","score":0.8339999914169312},{"id":"https://openalex.org/keywords/sybil-attack","display_name":"Sybil attack","score":0.9449999928474426},{"id":"https://openalex.org/keywords/blackhole-attack","display_name":"black hole attack","score":0.9909999966621399},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.6990000009536743},{"id":"https://openalex.org/keywords/vehicular-network-security","display_name":"VANET security","score":0.7490000128746033},{"id":"https://openalex.org/keywords/intelligent-transportation-systems","display_name":"intelligent transportation systems","score":0.8600000143051147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6482999920845032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5390999913215637},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45809999108314514},{"id":"https://openalex.org/C192448918","wikidata":"https://www.wikidata.org/wiki/Q682677","display_name":"Vehicular ad hoc network","level":4,"score":0.3571999967098236},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.34299999475479126},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33469998836517334},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.25929999351501465},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C56397880","wikidata":"https://www.wikidata.org/wiki/Q6044094","display_name":"Intelligent decision support system","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/decon67170.2025.11448093","doi":"https://doi.org/10.1109/decon67170.2025.11448093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/decon67170.2025.11448093","pdf_url":null,"source":{"id":"https://openalex.org/S7407096514","display_name":"International Conference on Data, Energy and Communication Networks (DECoN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Data, Energy and Communication Networks (DECoN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2548923997","https://openalex.org/W4200301028","https://openalex.org/W4302047051","https://openalex.org/W4387490367","https://openalex.org/W4387986975","https://openalex.org/W4388212685","https://openalex.org/W4390874590","https://openalex.org/W4399205915","https://openalex.org/W4401608355","https://openalex.org/W4406612090","https://openalex.org/W4407627994","https://openalex.org/W4407691101","https://openalex.org/W4408048715","https://openalex.org/W4409097893","https://openalex.org/W4409683770","https://openalex.org/W4409796303","https://openalex.org/W4410853991","https://openalex.org/W4411173615"],"related_works":["https://openalex.org/W7163911575","https://openalex.org/W4391294044","https://openalex.org/W4405507503","https://openalex.org/W7164019074","https://openalex.org/W7212127200","https://openalex.org/W7147418404","https://openalex.org/W7153282331","https://openalex.org/W7154601990","https://openalex.org/W7165637531","https://openalex.org/W4414667427"],"abstract_inverted_index":{"Vehicular":[0],"Ad":[1],"Hoc":[2],"Networks":[3],"(VANETs)":[4],"are":[5,41,213],"proving":[6],"to":[7,24,33,44,57,79,103,112,132,141,168,197,203,229],"be":[8,80,97],"one":[9],"of":[10,14,121,156,177,200,207],"the":[11,15,100,106,110,119,178,185,204,219],"main":[12],"elements":[13],"intelligent":[16,83],"transportation":[17],"system":[18,151],"that":[19,69,184,218],"allow":[20],"vehicles":[21],"and":[22,36,52,74,84,108,115,134,144,161,195,226],"infrastructure":[23],"communicate":[25],"with":[26],"each":[27],"other":[28],"in":[29,89,99,118,139,153,170],"real-time.":[30],"Nevertheless,":[31],"due":[32],"dynamic":[34],"topology":[35],"open":[37],"wireless":[38],"medium,":[39],"they":[40],"very":[42],"vulnerable":[43],"different":[45],"security":[46],"threats":[47],"such":[48],"as":[49,82],"denial-of-service,":[50],"Sybil,":[51],"black-hole":[53],"attacks.":[54],"In":[55],"order":[56,140],"overcome":[58],"these":[59],"problems,":[60],"this":[61],"paper":[62],"will":[63,96,182],"propose":[64],"Hybrid":[65],"Machine":[66],"Learning":[67],"Framework":[68],"combines":[70],"Random":[71,93],"Forest":[72,94],"(RF)":[73],"Deep":[75,126],"Neural":[76,127],"Network":[77,128],"(DNN)":[78],"used":[81,131],"adaptive":[85],"attack":[86],"detection":[87],"methods":[88],"VANET":[90,180],"situations.":[91],"The":[92,174,215],"algorithm":[95],"applied":[98],"proposed":[101,186],"architecture":[102],"effectively":[104],"select":[105],"features":[107,117],"pre-classify":[109],"data":[111],"remove":[113],"redundant":[114],"irrelevant":[116],"traffic":[120],"a":[122,223],"vehicular":[123],"network.":[124],"A":[125],"is":[129,166],"then":[130],"refine":[133],"learn":[135],"complicated,":[136],"non-linear":[137],"associations":[138],"classify":[142],"attacks":[143,201],"detect":[145],"abnormalities":[146],"where":[147],"appropriate.":[148],"This":[149],"two-step":[150],"helps":[152],"improving":[154],"accuracy":[155],"detecting,":[157],"minimizes":[158],"false":[159],"positives,":[160],"avoids":[162],"overloading":[163],"computation":[164],"which":[165],"unreasonable":[167],"operates":[169],"real":[171],"time":[172],"VANET.":[173],"experimental":[175],"testing":[176],"benchmark":[179],"datasets":[181],"show":[183],"hybrid":[187],"RF-DNN":[188],"framework":[189],"achieve":[190],"greater":[191],"accuracy,":[192],"recall,":[193],"F1-score":[194],"resistance":[196],"changing":[198],"patterns":[199],"compared":[202],"traditional":[205],"case":[206],"use":[208],"when":[209],"single":[210],"RF-ready":[211],"models":[212],"employed.":[214],"findings":[216],"validate":[217],"suggested":[220],"model":[221],"provides":[222],"scalable,":[224],"smart,":[225],"safe":[227],"alternative":[228],"next-generation":[230],"automotive":[231],"communicational":[232],"networks.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-03-31T00:00:00"}