Time-Sensitive Networking (TSN) has emerged as a foundational paradigm for enabling deterministic communication in automotive and industrial cyber-physical systems (CPS), where strict timing guarantees, high reliability, and cybersecurity resilience are simultaneously required. However, the integration of synchronization precision, fault tolerance, and security mechanisms into a unified architectural framework remains an open research challenge. Existing industrial and automotive network designs often treat these concerns independently, leading to inefficiencies, timing uncertainties, and increased vulnerability to cyber-attacks.

This research proposes a conceptual and analytical synthesis of secure and deterministic TSN architectures tailored for automotive and industrial CPS environments. The study investigates synchronization mechanisms based on IEEE 802.1AS and IEEE 1588, evaluates fault-tolerant communication strategies, and examines cybersecurity threats targeting time-sensitive protocols. A structured architectural model is derived through comparative synthesis of existing automotive network frameworks and TSN implementations. The analysis further integrates predictability theory to assess real-time guarantees in distributed systems.

Findings indicate that achieving deterministic performance under adversarial conditions requires co-design of synchronization, traffic shaping, and intrusion detection mechanisms. Moreover, automotive-grade architectures demonstrate that centralized platform-based designs improve scalability but introduce new security bottlenecks. The study concludes that a unified TSN framework with built-in security and resilience layers is essential for next-generation automotive and industrial CPS.

Time-Sensitive Networking, Automotive Systems, Cyber-Physical Systems

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