Affiliation:
1. Department of Mobility Convergence Security, Soonchunhyang University, Asan, South Korea
2. Department of Computer Engineering, Daegu University, Gyeongsan, South Korea
Funder
National Research Foundation of Korea (NRF) grant funded by the Korea Government
Institute for Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government
‘‘Regional Innovation Strategy (RIS)’’ through the National Research Foundation of Korea (NRF) funded by the Ministry of Education
Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education
Soonchunhyang Research Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Reference37 articles.
1. Intrusion detection system based on the analysis of time intervals of CAN messages for in-vehicle network
2. Supervised contrastive ResNet and transfer learning for the in-vehicle intrusion detection system;hoang;arXiv 2207 10814,2022
3. OTIDS: A Novel Intrusion Detection System for In-vehicle Network by Using Remote Frame
4. A Comprehensive Survey on Transfer Learning
5. Context-aware intrusion detection in automotive control systems;wasicek;Proc 5th ESCAR USA Conf,2017
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