  Securing a safe-driving circumstance for connected and autonomous vehicles
(CAVs) continues to be a widespread concern despite various sophisticated
functions delivered by artificial intelligence for in-vehicle devices. Besides,
diverse malicious network attacks become ubiquitous along with the worldwide
implementation of the Internet of Vehicles, which exposes a range of
reliability and privacy threats for managing data in CAV networks. Combined
with another fact that CAVs are now limited in handling intensive computation
tasks, it thus renders a pressing demand of designing an efficient assessment
system to guarantee autonomous driving safety without compromising data
security. To this end, we propose in this article a novel framework of
Blockchain-enabled intElligent Safe-driving assessmenT (BEST) to offer a smart
and reliable approach for conducting safe driving supervision while protecting
vehicular information. Specifically, a promising solution of exploiting a long
short-term memory algorithm is first introduced in detail for an intElligent
Safe-driving assessmenT (EST) scheme. To further facilitate the EST, we
demonstrate how a distributed blockchain obtains adequate efficiency,
trustworthiness and resilience with an adopted byzantine fault tolerance-based
delegated proof-of-stake consensus mechanism. Moreover, several challenges and
discussions regarding the future research of this BEST architecture are
presented.
