Abstract:
Internet of Vehicle (IoV) is one of the demanding and new area of research
based on Internet, cloud, edge and 5G services. However, these networks are
suffered with some congestion, routing and security issues especially in urban
areas and cause of delay and computational complexities issues and lead to late
messages delivery or data congestion. The Unmanned Ariel Vehicles (UAV) or
drones are introduced to facilitates these networks by collecting the data from
road nodes and forward to the Road Side Units (RSU) or to the backbone
architecture for decision making. Although, this strategy is more useful
especially for data routing and decision making but this strategy will open new
threats and challenges in the form of security, user privacy and other malicious
activities. These services are suffered from various different types of threats and
malicious attacks in the network because these networks are open in nature and
always an easy task for attackers. The traditional security and authentication
mechanisms have not been feasible due to their complex and heavy
computational processing. This study presents a novel Secure Data
Communication in Drone Enables Internet of Vehicle (SDCD-IoV), solution for
authentication among vehicle nodes, RSU and trust authority database in drones
enable IoV networks. The proposed system is based on three main phases
including initialization, registration, and authentication. The proposed solution
provides the authentication mechanism to fulfil the security requirements of
drone enable IoV networks and provides node anonymity where vehicle nodes
and drones are protected the identity during data transmission. The second
important contribution of proposed solution is unlikability where the network
prevents them from adversary. Traceability and mutual authentication are also
considered where nodes check malicious action and real identity of nodes
recovered and verifying the messages from other entities. This solution is best
option to secure the data communication among vehicle nodes and drones. The
proposed solution is tested in terms of time cost, computational cost, overhead
in the presence of different number of nodes and velocities. The proposed
solution achieved the high performance as compared to existing solutions.
