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Conference proceeding
Machine Learning Systems for Connected Vehicles
2023 International Conference on Computational Science and Computational Intelligence (CSCI), pp.875-880
International Conference on Computational Science and Computational Intelligence (CSCI) (Las Vegas, Nevada, USA, 12/13/2023–12/15/2023)
12/13/2023
Web of Science ID: WOS:001283930300226
Abstract
This paper presents an on-going research on machine learning (ML) systems for connected vehicle security. It proposes the application of various ML techniques that are applied to Basic Safety Message (BSM) test datasets, both on normal operation and anomalous behavior. The BSM test datasets conform with the SAE J2735 Standard on message sets that support vehicle-to-everything (V2X) communications systems. The purpose of the study is to determine the suitability of ML systems in identifying and classifying normal and anomalous BSM messages in a network of connected vehicles and the V2X systems.
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Details
- Title
- Machine Learning Systems for Connected Vehicles
- Publication Details
- 2023 International Conference on Computational Science and Computational Intelligence (CSCI), pp.875-880
- Resource Type
- Conference proceeding
- Conference
- International Conference on Computational Science and Computational Intelligence (CSCI) (Las Vegas, Nevada, USA, 12/13/2023–12/15/2023)
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Copyright
- © 2023, IEEE
- Identifiers
- WOS:001283930300226; 99380566788206600
- Academic Unit
- Division of Academic Affairs; Center for Cybersecurity and AI; Hal Marcus College of Science and Engineering
- Language
- English