A Survey of Security Mechanisms for Edge Computing based Connected
Autonomous Vehicles
Abstract
Edge Computing-based Connected Autonomous Vehicles (EC-CAVs) can fulfill
the emerging demand for smart transportation on a global scale. Such
innovations to transportation ecosystems can bring manyfold benefits
from fully autonomous driving services to proactive vehicle monitoring
and traffic management. Given the complexity involved in the deployment
of EC-CAVs, zero-tolerance safety and security measures must be
incorporated to avert vehicle immobilization, road accidents, disclosure
of sensitive data, or any potential threats. This paper presents a
reference architecture of EC-CAVs to investigate existing and emerging
cyber-threats for deriving a common attack taxonomy for the EC-CAVs
ecosystem. Subsequently, a comprehensive survey of security mechanisms
is presented that can ensure safe and secure transportation of
passengers from one destination to another using an EC-CAVs ecosystem.