On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures. (arXiv:2309.12955v2 [cs.CR] UPDATED)

Collaborative perception, which greatly enhances the sensing capability of
connected and autonomous vehicles (CAVs) by incorporating data from external
resources, also brings forth potential security risks. CAVs' driving decisions
rely on remote untrusted data, making them susceptible to attacks carried out
by malicious participants in the collaborative perception system. However,
security analysis and countermeasures for such threats are absent. To
understand the impact of the vulnerability, we break the ground by proposing
various real-time data fabrication attacks in which the …

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