In-Vehicle Intrusion Detection System on Controller Area Network with Machine Learning Models-Reference-Cited by-同舟云学术

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In-Vehicle Intrusion Detection System on Controller Area Network with Machine Learning Models

Published:2020-07 Issue: Volume: Page:
ISSN:
Container-title:2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
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Author:

Kalkan Soner Can,Sahingoz Ozgur Koray

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9211590/9225262/09225442.pdf?arnumber=9225442

Cited by 31 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. Enhancing CAN-FD Security with an Ensemble Learning Approach for Intrusion Detection;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

2. A literature review on V2X communications security: Foundation, solutions, status, and future;IET Communications;2024-06-14

3. Machine Learning-Based Anomaly Detection for Securing In-Vehicle Networks;Electronics;2024-05-16

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

5. Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks;IEEE Open Journal of Vehicular Technology;2024

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