A survey of deep learning-based intrusion detection in automotive applications

Author:

Lampe BrookeORCID,Meng WeizhiORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference78 articles.

1. Abbott-McCune, S., & Shay, L. A. (2016). Intrusion prevention system of automotive network CAN bus. In 2016 IEEE international carnahan conference on security technology.

2. Automotive ethernet physical optimization and IEEE 1588 implementation;Agarwal,2021

3. NovelADS: A novel anomaly detection system for intra-vehicular networks;Agrawal;IEEE Transactions on Intelligent Transportation Systems,2022

4. Deep learning-based intrusion detection system for internet of vehicles;Ahmed;IEEE Consumer Electronics Magazine,2021

5. Alkhatib, N., Ghauch, H., & Danger, J.-L. (2021). SOME/IP Intrusion Detection using Deep Learning-based Sequential Models in Automotive Ethernet Networks. In 2021 IEEE 12th annual information technology, electronics and mobile communication conference.

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