Security, Trust, and Privacy Solutions for Intelligent Internet of Vehicular Things—Part I

Abstract

This articles in this special section focus on the issues and challenges related to security, trust, and privacy (STP) for the Intelligent Internet of Vehicles (IoVT). The IoT evolution have given birth to several new groundbreaking applications, such as the IoVT, smart cities, and cyber-physical systems. For IoVT, the vehicles include various smart devices to obtain and communicate information from surroundings. This information can be helpful in safe navigation, detecting hurdles, optimizing routes, and in traffic management. For efficient decision-making, in IoVs, V2V, and V2X communication have been used to compliment onboard sensor inputs and provide better services. A key concern when relying on vehicle data is vulnerable to data. Therefore, the need is to discuss the solutions that provide security, trust, and privacy (STP) to both communicating entities and secure vehicle data from malicious entities. The use of artificial intelligence (AI) in multidimensional makes them useful for the Internet of Vehicular Things. An Intelligent Internet of Vehicle Things gives the desired results in the given time constraints with less human effort. The increasing number of Internet of Vehicle Things (IoVT) results in an increase in data exploration and risk to STP.