METHODS AND TOOLS FOR PROTECTING DIGITAL TWINS IN INDUSTRY 4.0 CYBER-PHYSICAL SYSTEMS

Abstract

This article presents an integrated approach to the analysis, design, and practical implementation of digital twin protection in Industry 4.0 cyber-physical systems. The relevance of the study is determined by the fact that, in a modern industrial environment, a digital twin acts not only as a monitoring and analytics tool but also as a functional component of the digital loop, the compromise of which may lead to violations of telemetry integrity and reliability, loss of synchronization between physical and digital states, service degradation, and hazardous effects on the production process. The paper systematizes the main threats and vulnerabilities of digital twins in CPS environments, including telemetry tampering, replay attacks, model interference, unauthorized access, availability attacks, compromise of communication channels, administrative services, and event logs. Cryptographic, network, organizational, and application-level protection mechanisms are analyzed, and the need for their integration into a multilayer security architecture based on the principles of defense-in-depth and Zero Trust is substantiated. The proposed model combines transport channel protection, verification of message integrity and authenticity, replay-attack mitigation, access control, secure logging with log-integrity control, limitation of message arrival intensity, telemetry validation, and model-based monitoring of the digital twin state through the assessment of consistency between the measured and predicted states. The practical implementation is presented in the form of a software prototype based on Python, MQTT, and Node-RED. Within the experimental evaluation, controlled scenarios of normal operation and typical threats were reproduced, which made it possible to assess the system’s response to message modification, packet replay, anomalous telemetry values, inconsistency with the model state, excessive message flow, and attempts at unauthorized administrative access. The obtained results showed that the proposed approach provides detection of typical violations, correct rejection of anomalous or modified messages, maintenance of controlled service availability, and additional verification of telemetry reliability at the model level, which confirms the practical applicability of the developed model for building secure digital twins in Industry 4.0 context.