BurST-ADMA: Towards an Australian Dataset for Misbehaviour Detection in the Internet of Vehicles
Version 2 2024-06-05, 12:11
Version 1 2022-10-19, 04:25
conference contribution
posted on 2024-06-05, 12:11 authored by Mohamed Ahzam AmanullahMohamed Ahzam Amanullah, M Baruwal Chhetri, Seng LokeSeng Loke, Robin Ram Mohan DossRobin Ram Mohan DossBurST-ADMA: Towards an Australian Dataset for Misbehaviour Detection in the Internet of Vehicles
Funding
Misbehaviour Detection in Corporate Intelligent Transportation Systems (cITS). | Funder: iMove Australia Limited | Grant ID: 5-046
History
Pagination
624-629Location
Pisa, ItalyStart date
2022-03-21End date
2022-03-25ISBN-13
9781665416474Language
EnglishPublication classification
E1 Full written paper - refereedTitle of proceedings
Proceedings of the IEEE Conference on Pervasive Computing and Communications 2022 Conference, Workshops and other Affiliated EventsEvent
IEEE Pervasive Computing and Communications. Conference (2022 : Pisa, Italy)Publisher
IEEEPlace of publication
Piscataway, N.J.Usage metrics
Categories
No categories selectedKeywords
C-ITSComputer ScienceComputer Science, Information SystemsComputer Science, Interdisciplinary ApplicationsComputer Science, Theory & MethodsEngineeringEngineering, Electrical & ElectronicIntelligent Transportation SystemsInternet of VehicleMachine LearningMisbehaviour DetectionScience & TechnologyTechnologyTelecommunications
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