Abstract The selfish On-Board-Unit (OBU) attacks Vehicular Ad-Hoc Network (VANET) by
various attacks for profit. However, many existing methods are based on the principle of …

Purpose This study aims to develop a trust mechanism in a Vehicular ad hoc Network
(VANET) based on an optimized deep learning for selfish node detection …

Vehicular ad hoc network (VANET) has been emerged as a prominent technology for
intelligent transportation systems. A VANET consists of a number of vehicles equipped …

A mobile ad hoc network (MANET) is a group of nodes constituting a network of mobile
nodes without predefined and pre-established architecture where mobile nodes can …

The security issue is one of the greatest challenges in vehicular ad hoc networks (VANETs)
attracting a great deal of attention. Malicious onboard units (OBUs) can attack other OBUs …

The Internet of Vehicles (IoV) can aid driving and alleviate traffic congestion and reduce
traffic accidents, which has attracted significant attention recently. However, the IoV faces …

As an irreversible trend, connected vehicles have become increasingly more popular. They
depend on the generation and sharing of data between vehicles to improve safety and …

The opportunistic mobile networks (OMNs) are gaining more attention due to the wide
deployment of mobile wireless devices. For the proper functioning of OMNs, selfish behavior …

In mobile ad hoc networks (MANETs), network survivability is considered as a potential
factor required for maintaining maximum degree of connectivity among the mobile nodes …

Vehicular ad-hoc network (VANET) model is easy to arrange and inexpensive answer for
clever traffic control and traffic failure protective measures. Generally, the nodes present in …