Edge Computing paradigms are expected to solve
some major problems affecting current application scenarios that
rely on Cloud computing resources to operate. These novel
paradigms will bring computational resources closer to the users
and by doing so they will not only reduce network latency and
bandwidth utilization but will also introduce some attractive
context-awareness features to these systems. In this paper we
show how the enticing features introduced by Edge Computing
paradigms can be exploited to improve security and privacy in
the critical scenario of vehicular networks (VN), especially
existing authentication and revocation issues. In particular, we
analyze the security challenges in VN and describe three
deployment models for vehicular edge computing, which refrain
from using vehicular-to-vehicular communications. The result is
that the burden imposed to vehicles is considerably reduced
without sacrificing the security or functional features expected in
vehicular scenarios.
