State-of-the-art Analysis and Research Direction towards Secure Mobile Edge Computing in Transport System

Mobile Edge Computing is the current paradigm in transportation systems (MEC). In order to demonstrate certain significant paradigm capabilities to visit nearby destination sites, this computing approach is simulated. With the use of network apps and services, this strategy exchanges information with the least amount of delay possible while displaying real-time capabilities that are immediately available. Researchers have developed an intelligent framework that makes use of cutting-edge applications for deploying strategies, constructing architecture, and creating communication methodologies by merging the efficient transport system with MEC. In order to satisfy this need, this chapter covers the several traditional ways for integrating MEC in vehicle networks. This criterion suggests that an intelligent transportation system should be developed in the context of future smart cities. In order to provide the best performance, security is a major concern in MEC-based automotive systems. Security precautions are managed via a Cyber-Physical Transportation System (CPTS), which combines a large number of sensors and wireless mobile devices. Sensing, communications, and traffic control are all things it is capable of. Maintaining the heterogeneous nature of variables as traffic sensors in Vehicular Ad Hoc Networks (VANET) while taking into account a diversity of abilities necessitates the use of the CPTS of MEC technique. Furthermore, the connected cars are used in the real-time application execution and application with respect to the edge node as the network edge for computational reasons. Due to its secure service deployment for autonomous vehicles, the Internet of Things (IoT), and Internet of vehicles, researchers use MEC for a variety of applications. The edge of networks have been deployed using MEC because to its properties and without the use of terminal servers. However, only a few research studies have been systematically used for MEC deployment. Secure service design settings with MEC are also somewhat uncommon. Therefore, using intelligent ways to analyse numerous secured MC research is necessary. Here, we cover some of the challenging and unresolved issues surrounding the secure design of mobile services in edge computing. The first problem is a significant security restriction on secure access control systems. Second, as information and new services continue to proliferate and develop online, security difficulties with data transfer have arisen. These challenges include high traffic volumes, scalability issues, and other issues. Thirdly, the widespread use of in-car MEC could lead to improper exploitation of vehicle position data. Additionally, a subsequent study will investigate the development of MEC in more challenging contexts and use the acquired information in a variety of application areas.Additionally, in a vehicular edge-based environment, it is necessary to supply a wide range of comprehensive middleware solutions to support a variety of classes of communications between the cloud server and the sensing layer.Last but not least, a number of unresolved concerns are not included in the current studies that examine potential future study directions.