Blockchain-enabled intrusion detection systems for real-time vehicle monitoring

Abstract

Blockchain Networks (BCNs) have become critical in various applications, and ensuring their security against cyber threats is essential for maintaining their reliability and confidentiality. This paper investigates the crucial role of Intrusion Detection Systems (IDS) in enhancing the security of BCNs, particularly in the context of real-time vehicle monitoring. The study begins with a thorough overview of blockchain technology, highlighting key security challenges such as vulnerabilities in smart contracts, the risk of 51% attack, and regulatory compliance issues. It emphasizes the need for robust security measures, with IDS emerging as a vital defense mechanism. IDS employs advanced techniques, including signature-based detection, anomaly detection, and behavioral analysis, to monitor network traffic and user activities, thereby improving the resilience of BCNs by identifying and addressing potential threats in real-time. For real-time vehicle monitoring, IDS is essential for ensuring the integrity and security of data, preventing unauthorized access, and maintaining user trust in blockchain-enabled transportation systems. This paper provides a comprehensive analysis of IDS's role in securing blockchain networks for real-time vehicle monitoring, offering valuable insights into enhancing the security of these systems in a dynamic cyber environment.