A Study of AI-Based In-Vehicle Intrusion Detection Systems-Reference-Cited by-同舟云学术

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A Study of AI-Based In-Vehicle Intrusion Detection Systems

Published:2024-01-06 Issue: Volume: Page:1036-1037
ISSN:
Container-title:2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)
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Author:

Gherbi Elies¹,Khemissa Hamza²,Bouchouia Mohammed Lamine¹,Ayrault Maxime³

Affiliation:

1. IRT-SystemX

2. Expleo,France

3. Valeo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10454139/10454627/10454752.pdf?arnumber=10454752

Reference7 articles.

1. Deep Learning for In-Vehicle Intrusion Detection System

2. A survey on ai/ml-driven intrusion and misbehavior detection in networked autonomous systems: Techniques, challenges and opportunities;Ajibuwa;arXiv preprint,2023

3. Explainable Artificial Intelligence in CyberSecurity: A Survey

4. Adversarial Machine Learning for Network Intrusion Detection Systems: A Comprehensive Survey

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Poster: Cyber Resiliency Metrics for AI-Based In-Vehicle Intrusion Detection Systems;2024 IEEE Vehicular Networking Conference (VNC);2024-05-29

2. Cybersecurity Metrics for AI-Based In-Vehicle Intrusion Detection Systems;2024 IEEE Vehicular Networking Conference (VNC);2024-05-29

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