International Journal of Scientific Research in Network Security and Communication

Controller Area Networks (CANs) are critical components of modern vehicles and industrial systems, facilitating communication between various electronic control units. However, the widespread connectivity and lack of inherent security measures make CANs vulnerable to cyber-attacks. Intrusion detection systems (IDS) safeguard CANs by detecting and mitigating potential attacks. This paper presents a comprehensive analysis of current methods for the real-time detection of attacks in CANs. The IDSs based on different input data modalities are evaluated based on their effectiveness, accuracy, and efficiency. The analysis highlights the strengths and limitations of each method, providing valuable insights for researchers and practitioners in developing robust and reliable intrusion detection systems for CANs. The findings suggest that the lightweight strategy in IDS is widely accepted for real-time application due to its computational simplicity and model structure. Furthermore, the paper identifies future directions to enhance the security of CANs and ensure their resilience against evolving threats.