Security Evaluation Of Key Management Systems In HART Networks: A Comprehensive Analysis Of Protocols, Vulnerabilities, And Limitations

Abstract

Highway Addressable Remote Transducer (HART) networks play a pivotal role in industrial IoT systems by facilitating seamless communication between field-level smart sensors and centralized control systems. Despite their widespread adoption, HART networks remain susceptible to security threats primarily due to their dependence on outdated and centralized key management schemes. This study delivers a comprehensive evaluation of existing key establishment techniques—ranging from single network-wide keys to pairwise protocols, centralized KDC architectures, polynomial-based predistribution, and a newly proposed dynamic hierarchical approach. A multi-layered analytical framework was employed, integrating formal protocol modeling via Colored Petri Nets (CPN), threat simulations using the extended Canetti-Krawczyk (eCK) adversary model, and penetration testing with tools such as Wireshark and Metasploit. Simulation results based on over 10,000 synthetic communication events revealed significant vulnerabilities in conventional models, including high key compromise rates (up to 85.5%), weak authentication mechanisms, and poor resilience to replay and man-in-the-middle attacks. In contrast, the proposed dynamic hierarchical model achieved superior performance, with a 94.6% authentication success rate, 17.8% key compromise probability, and a 90% resilience score under adversarial conditions. These findings support a shift toward decentralized or hybrid key management systems—such as those leveraging blockchain or Distributed Key Distribution Centers (DKDC)—to reduce single points of failure and improve scalability. The study concludes by recommending the adoption of adaptive, lightweight, and formally verified cryptographic architectures tailored for the security-critical demands of industrial HART networks.