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A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles. (arXiv:2201.11812v1 [cs.CR])
Jan. 31, 2022, 2:20 a.m. | Li Yang, Abdallah Shami
cs.CR updates on arXiv.org arxiv.org
Modern vehicles, including autonomous vehicles and connected vehicles, are
increasingly connected to the external world, which enables various
functionalities and services. However, the improving connectivity also
increases the attack surfaces of the Internet of Vehicles (IoV), causing its
vulnerabilities to cyber-threats. Due to the lack of authentication and
encryption procedures in vehicular networks, Intrusion Detection Systems (IDSs)
are essential approaches to protect modern vehicle systems from network
attacks. In this paper, a transfer learning and ensemble learning-based IDS is
proposed …
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