Analysis and Design of a Robust Security System to Address Cybersecurity Vulnerabilities and Control the Security of the Internet of Vehicles

Abstract

The Internet of Vehicles (IoV) system faces some security vulnerabilities, which could lead to cyberattacks targeting smart vehicles. This paper investigates the cybersecurity challenges of IoV, focusing on defending smart cars from covert attackers. The primary aim of the study is to design a robust security system to combat and prevent these cyber-attacks. The work makes two main contributions: First, it explores the security vulnerabilities in inter-vehicle communication, particularly focusing on two types of cyber attacks. To address these vulnerabilities, an intelligent detection algorithm is proposed to close security gaps within the system. The study also discusses the role of smart vehicles and their interconnected systems, which communicate through the Controller Area Network (CAN) bus and other external communication units. Second, the study emphasizes the importance of protecting critical vehicle systems such as the engine control unit (ECU), adaptive cruise control (ACC), anti-lock braking system (ABS), and central locking system. These systems are crucial for vehicle safety, and any compromise could have disastrous consequences. The proposed approach utilizes a Proportional-Integral-Derivative (PID) controller to monitor and control acceleration, leveraging real-time measurements of speed and distance to prevent accidents and mitigate security risks. The results demonstrate the ffectiveness of the proposed solution in securing smart vehicles from cyber threats, by ensuring safe dynamic vehicle systems under potential cyber-attacks.