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CANdito: Improving Payload-based Detection of Attacks on Controller Area Networks. (arXiv:2208.06628v1 [cs.CR])
Aug. 16, 2022, 1:20 a.m. | Stefano Longari, Alessandro Nichelini, Carlo Alberto Pozzoli, Michele Carminati, Stefano Zanero
cs.CR updates on arXiv.org arxiv.org
Over the years, the increasingly complex and interconnected vehicles raised
the need for effective and efficient Intrusion Detection Systems against
on-board networks. In light of the stringent domain requirements and the
heterogeneity of information transmitted on Controller Area Network, multiple
approaches have been proposed, which work at different abstraction levels and
granularities. Among these, RNN-based solutions received the attention of the
research community for their performances and promising results. In this paper,
we improve CANnolo, an RNN-based state-of-the-art IDS for …
More from arxiv.org / cs.CR updates on arXiv.org
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