RX-ADS: Interpretable Anomaly Detection Using Adversarial ML for Electric Vehicle CAN Data-Reference-Cited by-同舟云学术

RX-ADS: Interpretable Anomaly Detection Using Adversarial ML for Electric Vehicle CAN Data

Published:2023-12 Issue:12 Volume:24 Page:14051-14063
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Wickramasinghe Chathurika S.¹^ORCID,Marino Daniel L.¹^ORCID,Mavikumbure Harindra S.¹^ORCID,Cobilean Victor¹^ORCID,Pennington Timothy D.²,Varghese Benny J.²,Rieger Craig²^ORCID,Manic Milos¹^ORCID

Affiliation:

1. Computer Science, Virginia Commonwealth University, Richmond, VA, USA

2. Idaho National Laboratory, Idaho Falls, ID, USA

Funder

Department of Energy through the U.S. DOE Idaho Operations Office

Commonwealth Cyber Initiative, an Investment in the Advancement of Cyber Research and Development, Innovation and Workforce Development

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

https://ieeexplore.ieee.org/ielam/6979/10339106/10192485-aam.pdf

Reference36 articles.

1. An Adversarial Approach for Explainable AI in Intrusion Detection Systems

2. Histogram-Based Intrusion Detection and Filtering Framework for Secure and Safe In-Vehicle Networks

3. Deep Learning-based Intrusion Detection System for Electric Vehicle Charging Station

4. Framework for Data Driven Health Monitoring of Cyber-Physical Systems

5. Survey of intrusion detection systems: techniques, datasets and challenges

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3. Generative AI in Cyber Security of Cyber Physical Systems: Benefits and Threats;2024 16th International Conference on Human System Interaction (HSI);2024-07-08

4. A comprehensive guide to CAN IDS data and introduction of the ROAD dataset;PLOS ONE;2024-01-22

5. DAdAE: Domain Adversarial Autoencoder Based In-Vehicle CAN Anomaly Detection;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16