{"id":"https://openalex.org/W4411577155","doi":"https://doi.org/10.1145/3745787","title":"<scp>VehiGAN</scp> : Generative Adversarial Networks for Adversarially Robust V2X Misbehavior Detection Systems","display_name":"<scp>VehiGAN</scp> : Generative Adversarial Networks for Adversarially Robust V2X Misbehavior Detection Systems","publication_year":2025,"publication_date":"2025-06-24","ids":{"openalex":"https://openalex.org/W4411577155","doi":"https://doi.org/10.1145/3745787"},"language":"en","primary_location":{"id":"doi:10.1145/3745787","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3745787","pdf_url":null,"source":{"id":"https://openalex.org/S2506189754","display_name":"ACM Transactions on Cyber-Physical Systems","issn_l":"2378-962X","issn":["2378-962X","2378-9638"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Cyber-Physical Systems","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/A5045241299","display_name":"Md Hasan Shahriar","orcid":"https://orcid.org/0000-0003-0289-8611"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Md Hasan Shahriar","raw_affiliation_strings":["Virginia Tech, Arlington, Virginia, USA","Virginia Tech, USA"],"raw_orcid":"https://orcid.org/0000-0003-0289-8611","affiliations":[{"raw_affiliation_string":"Virginia Tech, Arlington, Virginia, USA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Virginia Tech, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033991968","display_name":"Mohammad Raashid Ansari","orcid":"https://orcid.org/0000-0002-4416-7879"},"institutions":[{"id":"https://openalex.org/I4210153756","display_name":"Massachusetts Technology Collaborative","ror":"https://ror.org/05mydvn22","country_code":"US","type":"other","lineage":["https://openalex.org/I4210153756"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Raashid Ansari","raw_affiliation_strings":["Self, Boxborough, Massachusetts, USA","Self, USA"],"raw_orcid":"https://orcid.org/0000-0002-4416-7879","affiliations":[{"raw_affiliation_string":"Self, Boxborough, Massachusetts, USA","institution_ids":["https://openalex.org/I4210153756"]},{"raw_affiliation_string":"Self, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047495482","display_name":"Jean-Philippe Monteuuis","orcid":"https://orcid.org/0000-0001-7712-1132"},"institutions":[{"id":"https://openalex.org/I19268510","display_name":"Qualcomm (United Kingdom)","ror":"https://ror.org/04d3djg48","country_code":"GB","type":"company","lineage":["https://openalex.org/I19268510","https://openalex.org/I4210087596"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jean-Philippe Monteuuis","raw_affiliation_strings":["Qualcomm Technologies, Inc., Boxborough, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0000-0001-7712-1132","affiliations":[{"raw_affiliation_string":"Qualcomm Technologies, Inc., Boxborough, Massachusetts, USA","institution_ids":["https://openalex.org/I19268510"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046921154","display_name":"Md Shahedul Haque","orcid":"https://orcid.org/0000-0002-0916-922X"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Shahedul Haque","raw_affiliation_strings":["Virginia Tech, Arlington, Virginia, USA"],"raw_orcid":"https://orcid.org/0000-0002-0916-922X","affiliations":[{"raw_affiliation_string":"Virginia Tech, Arlington, Virginia, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071780156","display_name":"Cong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087596","display_name":"Qualcomm (United States)","ror":"https://ror.org/002zrf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087596"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cong Chen","raw_affiliation_strings":["Qualcomm Technologies, Inc., San Diego, California, USA","Qualcomm Technologies, Inc., USA"],"raw_orcid":"https://orcid.org/0009-0007-0997-7888","affiliations":[{"raw_affiliation_string":"Qualcomm Technologies, Inc., San Diego, California, USA","institution_ids":["https://openalex.org/I4210087596"]},{"raw_affiliation_string":"Qualcomm Technologies, Inc., USA","institution_ids":["https://openalex.org/I4210087596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103533806","display_name":"Jonathan Petit","orcid":"https://orcid.org/0000-0002-8644-1442"},"institutions":[{"id":"https://openalex.org/I19268510","display_name":"Qualcomm (United Kingdom)","ror":"https://ror.org/04d3djg48","country_code":"GB","type":"company","lineage":["https://openalex.org/I19268510","https://openalex.org/I4210087596"]},{"id":"https://openalex.org/I4210087596","display_name":"Qualcomm (United States)","ror":"https://ror.org/002zrf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087596"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Jonathan Petit","raw_affiliation_strings":["Qualcomm Technologies, Inc., Boxborough, Massachusetts, USA","Qualcomm Technologies, Inc., USA"],"raw_orcid":"https://orcid.org/0000-0002-8644-1442","affiliations":[{"raw_affiliation_string":"Qualcomm Technologies, Inc., Boxborough, Massachusetts, USA","institution_ids":["https://openalex.org/I19268510"]},{"raw_affiliation_string":"Qualcomm Technologies, Inc., USA","institution_ids":["https://openalex.org/I4210087596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059824798","display_name":"Y. Thomas Hou","orcid":"https://orcid.org/0000-0003-3716-5768"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y. Thomas Hou","raw_affiliation_strings":["Virginia Tech, Blacksburg, Virginia, USA","Virginia Tech, USA"],"raw_orcid":"https://orcid.org/0000-0003-3716-5768","affiliations":[{"raw_affiliation_string":"Virginia Tech, Blacksburg, Virginia, USA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Virginia Tech, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001879281","display_name":"Wenjing Lou","orcid":"https://orcid.org/0000-0002-2421-4623"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenjing Lou","raw_affiliation_strings":["Virginia Tech, Arlington, Virginia, USA","Virginia Tech, USA"],"raw_orcid":"https://orcid.org/0000-0002-2421-4623","affiliations":[{"raw_affiliation_string":"Virginia Tech, Arlington, Virginia, USA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Virginia Tech, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5045241299"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":8.693,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.97335587,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"9","issue":"3","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9990000128746033,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/adversarial-system","display_name":"Adversarial system","score":0.6420851945877075},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5731801390647888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4778677821159363},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.41205528378486633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22433927655220032},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.08058100938796997}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6420851945877075},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5731801390647888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4778677821159363},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.41205528378486633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22433927655220032},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.08058100938796997}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3745787","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3745787","pdf_url":null,"source":{"id":"https://openalex.org/S2506189754","display_name":"ACM Transactions on Cyber-Physical Systems","issn_l":"2378-962X","issn":["2378-962X","2378-9638"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Cyber-Physical Systems","raw_type":"journal-article"},{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/136958","is_oa":false,"landing_page_url":"https://hdl.handle.net/10919/136958","pdf_url":null,"source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W610469435","https://openalex.org/W1923594657","https://openalex.org/W1974971448","https://openalex.org/W2073768640","https://openalex.org/W2078179989","https://openalex.org/W2097117768","https://openalex.org/W2100495367","https://openalex.org/W2108598243","https://openalex.org/W2137130182","https://openalex.org/W2143668817","https://openalex.org/W2157825442","https://openalex.org/W2164943005","https://openalex.org/W2183341477","https://openalex.org/W2212660284","https://openalex.org/W2500832573","https://openalex.org/W2525579820","https://openalex.org/W2772496680","https://openalex.org/W2792045232","https://openalex.org/W2946217016","https://openalex.org/W2963981733","https://openalex.org/W3006727493","https://openalex.org/W3016409148","https://openalex.org/W3094692755","https://openalex.org/W3098476760","https://openalex.org/W3144149715","https://openalex.org/W3159142879","https://openalex.org/W3164841614","https://openalex.org/W3198888493","https://openalex.org/W4205388843","https://openalex.org/W4206921428","https://openalex.org/W4251428492","https://openalex.org/W4251854506","https://openalex.org/W4253461361","https://openalex.org/W4295521014","https://openalex.org/W4301206121","https://openalex.org/W4313591247","https://openalex.org/W4320013936","https://openalex.org/W4323966601","https://openalex.org/W4383112818","https://openalex.org/W4386946541","https://openalex.org/W4390497390","https://openalex.org/W4401752810","https://openalex.org/W4402570701","https://openalex.org/W6735913928","https://openalex.org/W6944349695"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4410783345","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785"],"abstract_inverted_index":{"Vehicle-to-Everything":[0],"(V2X)":[1],"communication":[2],"enables":[3],"vehicles":[4,9],"to":[5,31,66,82,85,100,131,177,268],"communicate":[6],"with":[7,276],"other":[8,91,299,339],"and":[10,16,23,72,74,105,116,139,171,201,207,217,238,293,334,353,358],"roadside":[11],"infrastructure,":[12],"enhancing":[13],"traffic":[14],"management":[15],"improving":[17],"road":[18],"safety.":[19],"However,":[20],"the":[21,56,67,90,98,102,126,165,191,196,233,257,261,291,344,351],"open":[22],"decentralized":[24],"nature":[25,69],"of":[26,70,113,129,187,198,212,227,235,273,286],"V2X":[27,71,162,263,274,313],"networks":[28],"exposes":[29],"them":[30,118],"various":[32],"security":[33],"threats,":[34],"especially":[35],"misbehaviors,":[36,288],"necessitating":[37],"a":[38,199,209,244,270],"robust":[39,202],"Misbehavior":[40],"Detection":[41],"System":[42],"(MBDS).":[43],"While":[44],"Machine":[45],"Learning":[46],"(ML)":[47],"has":[48],"proved":[49],"effective":[50,251],"in":[51,63,195,283,298,304,312,325],"different":[52],"anomaly":[53],"detection":[54,107,179,240,296],"applications,":[55],"existing":[57],"ML-based":[58,181,254],"MBDSs":[59],"have":[60],"shown":[61],"limitations":[62,234],"generalizing":[64],"due":[65],"dynamic":[68],"insufficient":[73],"imbalanced":[75],"training":[76],"data.":[77],"Moreover,":[78,319],"they":[79],"are":[80],"known":[81],"be":[83],"vulnerable":[84],"adversarial":[86,143,175,188,332,340],"ML":[87],"attacks.":[88],"On":[89],"hand,":[92],"Generative":[93],"Adversarial":[94],"Networks":[95],"(GAN)":[96],"possess":[97],"potential":[99],"mitigate":[101],"aforementioned":[103],"issues":[104],"improve":[106],"performance":[108,297],"by":[109,180],"synthesizing":[110],"unseen":[111],"samples":[112],"minority":[114],"classes":[115],"utilizing":[117],"during":[119],"their":[120],"model":[121,159],"training.":[122],"Therefore,":[123],"we":[124,148,154,205,259,349],"propose":[125,155],"first":[127],"application":[128],"GAN":[130,214,221],"design":[132],"an":[133,156,225],"MBDS":[134],"that":[135,249,282,308,342],"detects":[136],"any":[137],"misbehavior":[138,163],"ensures":[140],"robustness":[141,337],"against":[142,190,338],"perturbation.":[144],"In":[145,256],"this":[146],"article,":[147],"present":[149,218,243],"several":[150],"key":[151],"contributions.":[152],"First,":[153],"advanced":[157,306],"threat":[158],"for":[160,253,356],"stealthy":[161],"where":[164],"attacker":[166],"can":[167],"transmit":[168],"malicious":[169],"data":[170,246,352],"mask":[172],"it":[173],"using":[174],"attacks":[176,189,341],"avoid":[178],"MBDS.":[182,193,255],"We":[183,242],"formulate":[184],"two":[185],"categories":[186],"anomaly-based":[192],"Later,":[194],"pursuit":[197],"generalized":[200],"GAN-based":[203],"MBDS,":[204],"train":[206],"evaluate":[208],"diverse":[210,277],"set":[211],"Wasserstein":[213],"(WGAN)":[215],"models":[216,237],"Ve":[219],"hicular":[220],"(":[222],"VehiGAN":[223,289,302,320],"),":[224],"ensemble":[226],"multiple":[228,310],"top-performing":[229],"WGANs,":[230],"which":[231],"transcends":[232],"individual":[236],"improves":[239],"performance.":[241],"physics-guided":[245],"preprocessing":[247],"technique":[248],"generates":[250],"features":[252],"evaluation,":[258],"leverage":[260],"state-of-the-art":[262],"attack":[264],"simulation":[265],"tool":[266],"VASP":[267],"create":[269],"comprehensive":[271],"dataset":[272],"messages":[275,314],"misbehaviors.":[278],"Evaluation":[279],"results":[280],"show":[281],"20":[284],"out":[285],"35":[287],"outperforms":[290],"baseline":[292],"exhibits":[294],"comparable":[295],"scenarios.":[300],"Particularly,":[301],"excels":[303],"detecting":[305],"misbehaviors":[307],"manipulate":[309],"fields":[311],"simultaneously,":[315],"replicating":[316],"unique":[317],"maneuvers.":[318],"provides":[321],"approximately":[322],"92%":[323],"improvement":[324],"false":[326,345],"positive":[327],"rate":[328],"under":[329],"powerful":[330],"adaptive":[331],"attacks,":[333],"possesses":[335],"intrinsic":[336],"target":[343],"negative":[346],"rate.":[347],"Finally,":[348],"make":[350],"code":[354],"available":[355,361],"reproducibility":[357],"future":[359],"benchmarking,":[360],"at":[362],"https://github.com/shahriar0651/VehiGAN":[363],".":[364]},"counts_by_year":[{"year":2026,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-06-24T00:00:00"}