Privacy-Preserving Authentication Approach For Accessing Vehicle Fog Service

The main purpose of Intelligent Transportation Systems is to improve road safety by providing amazing innovative applications and services related to traffic management and enable users to be better informed and make safer,more coordinated,and enjoy the use of the car.Several technologies have been deployed to maintain and promote Intelligent Transportation Systems(ITS),including embedded systems integration,the deployment of conventional cloud computing resource management technology.This has allowed earlier adoption of Vehicular Cloud Computing(VCC),a concept developed from the Vehicular Ad Hoc Network(VANET),and which is formed,in an autonomous way,thus offering a wide range of applications and services to all participants in Intelligent Transportation Systems.The emergence of the Internet of Thing(IoT)has enabled interconnection and communication among massive mobile devices,which produce a huge and heterogonous amount of data,known as data explosions.Namely,even though that cloud computing has served as an efficient way to process and store these data,however,challenges,such as the rising demands for real-time or latency-sensitive applications and limitation of network bandwidth,still cannot be solved by using the traditional cloud.To address these problems,a new paradigm has been proposed called "Vehicular Fog Computing".Vehicular Fog Computing is proposed to speed up computation,and storage by moving traditional Vehicular Cloud Service to the edge nodes.Vehicle Fog Computing(VFC)satisfies the above-mentioned application by providing more security on the road and many applications that need less latency such as traffic management,etc...This new paradigm may face serious issues related to security and privacy since Fog Nods are distributed and it can be deployed at an insecure era.To address these problems,we propose Lightweight Certficateless Anonymous Authentication for Vehicular Fog Service(LNCA),which applies the Ring-Learning-With-Errors-Based Password-Authenticated Key Exchange Technique.This research focuses on Privacy-Preserving Authentication Approach for Accessing Vehicle Fog Service.We consider the mutual authentication between vehicle and Road Side Unit(RSU)in the scenario where vehicle access to Vehicular Fog Services via RSU.LNCA applies Ring-Learning-With-Errors-Based Password-Authenticated Key Exchange Technique.RLWE-PAK is one of the most well-known algorithms of Lattice-Based Cryptography.RLWE-PAK is a difficult problem and cannot be solved while still be secure against quantum attack.We used this advantage to design LNCA.This work considers the Mutual Authentication between Vehicle and Road Side(RSU)in the scenarios where vehicles access VFS via RSU.LNCA is lightweight in terms of small overhead in communication,computation and storage.We have detailed the mechanism,explained how LNCA satisfies the security requirements and apply SVO logic to verify that LNCA meets the desired authentication objectives.We can certify our proposed protocol is efficient enough according to simulation results carried out to evaluate LNCA in terms of vehicle authentication time and by comparison with the existing authentication mechanisms.In the rest of the thesis,the term Vehicular Fog Computing(VFC)represented Vehicular Fog Service(VFS).VFS is a set of services provided by the Fog nodes to the Vehicles via RSUs.Fog Nodes are located in the RSUs along the road.