Projects per year
Abstract
Modern vehicles are built of onboard networked computers, known as Electronic Control Units, to realise a range of functionality and features. Due to their connectivity, they are vulnerable to cyberattacks through various vectors including wired (e.g., CAN, Lin) and wireless (e.g., Bluetooth, WiFi) communications. To facilitate building and validating security measures against these attacks, it is vital to replicate the on-board networks and their components, along with a connected external environment representing required use cases and driving scenarios in an instrumental and controllable environment. In this paper, we propose a multi-component testbed representing a flexible and functional in-vehicle architecture for training and validating machine learning-based Intrusion Detection Systems (IDS).
Original language | English |
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Title of host publication | 41st SGAI International Conference on Artificial Intelligence proceedings |
Publisher | CEUR Workshop Proceedings |
Publication status | Published - 19 Apr 2022 |
Event | Workshop on AI and Cybersecurity : co-located with 41st SGAI International Conference on Artificial Intelligence (SGAI 2021) - Cambridge, United Kingdom Duration: 14 Dec 2021 → 14 Dec 2021 https://sites.google.com/view/ai-cybersec-2021/home |
Publication series
Name | CEUR Workshop Proceedings |
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ISSN (Electronic) | 1613-0073 |
Conference
Conference | Workshop on AI and Cybersecurity |
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Abbreviated title | AI-Cybersec 2021 |
Country/Territory | United Kingdom |
City | Cambridge |
Period | 14/12/21 → 14/12/21 |
Internet address |
Bibliographical note
© 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)Keywords
- Automotive security
- testbed
- machine learning
Fingerprint
Dive into the research topics of 'A Realtime In-Vehicle Network Testbed for Machine Learning-Based IDS Training and Validation'. Together they form a unique fingerprint.Projects
- 1 Finished
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Secure-CAV
Nguyen, H. N. (Co-Investigator), Shaikh, S. (Principal Investigator), Bryans, J. (Co-Investigator) & Jadidbonab, H. (Researcher)
1/12/19 → 1/03/22
Project: Research