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On the Feasibility of Profiling Electric Vehicles through Charging Data. (arXiv:2210.05433v1 [cs.CR])
Oct. 12, 2022, 1:20 a.m. | Ankit Gangwal, Aakash Jain, Mauro Conti
cs.CR updates on arXiv.org arxiv.org
Electric vehicles (EVs) represent the long-term green substitute for
traditional fuel-based vehicles. To encourage EV adoption, the trust of the
end-users must be assured. In this work, we focus on a recently emerging
privacy threat of profiling and identifying EVs via the analog electrical data
exchanged during the EV charging process. The core focus of our work is to
investigate the feasibility of such a threat at scale. To this end, we first
propose an improved EV profiling approach that …
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