… vehicular networks into MEC, thereby forming a novel paradigm named as Vehicular Edge
Computing (VEC)… to ensure the security of vehicular crowd sensing networks. A certificateless …

… vehicle to vehicle communications to learn about significant events in the network from
neighboring … Das and MM Islam, “Securedtrust: A dynamic trust computation model for secured …

… networks. In this framework, we study the effectiveness of the computation transfer strategies
with vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication modes. …

… In network computing, we deal with various network data streams as separated commodity
streams. For the established virtual subnet, we denote it as G ′ (V ′ ,P ′ ), where V ′ is …

… the state of the vehicular network, we thus utilize deep reinforcement learning (DRL) in vehicular
task … technology to guarantee security and reliability in vehicular computation offloading. …

… and security issues related to inter-cloud communication. They argue that vehicular cloud
computing … is considered to be suitable for intra-vehicle networking. Woo and Jo [22] propose a …

… propose a secure and efficient outsourcing computing scheme in vehicular fog computing
(SE-… efficient data services in vehicular networks via cooperative infrastructure-to-vehicle and …

… In the vehicular networks, secure content delivery becomes significant yet very challenging
… paper proposes a security-aware content delivery scheme in vehicular networks when the …

… random oracle model to achieve security requirements in a 5G-enabled vehicular network. …
-PA scheme for secure vehicular networks in Section IV. Section V provides security analysis …

… vehicular cloud is served on vehicular networks, secure vehicular cloud computing can inherit
some security defenses from the existing VANET-based security mechanisms on one hand…