Cyber-Physical Security in Networked Intelligent Engineering Systems
Keywords:
cyber-physical security, networked intelligent engineering systems, system architecture, governance, robustness, sustainability, fairness, machine learningAbstract
The increasing integration of computational intelligence with physical infrastructure has given rise to Networked Intelligent Engineering Systems (NIES), where cyber-physical systems, industrial Internet of Things, and artificial intelligence co-evolve under shared control and communication architectures. This paper examines the multifaceted challenges of cyber-physical security within such systems from a system-theoretic perspective, emphasizing structural trade-offs, governance models, architectural robustness, and sustainability imperatives. Unlike conventional cybersecurity approaches that treat information security as an isolated domain, cyber-physical security in NIES must contend with the entanglement of computational logic, physical dynamics, and human decision-making. We argue that security cannot be optimized as a standalone objective but must be embedded within broader design and operational constraints, including real-time responsiveness, resource efficiency, and ethical fairness. The paper analyzes key architectural paradigms such as layered defense, distributed trust, and resilient control, and discusses how these frameworks interact with policy instruments and regulatory standards. Through cross-domain comparisons across manufacturing, transportation, and energy infrastructures, we illustrate how the same security mechanisms can produce divergent outcomes depending on system topology and governance structure. Special attention is given to the role of machine learning in predictive security and its inherent trade-offs between accuracy, interpretability, and vulnerability to adversarial manipulation. The conclusion outlines a research agenda that calls for interdisciplinary frameworks combining control theory, computer science, law, and socio-technical systems engineering to achieve secure, fair, and sustainable NIES.
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