International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

The rapid evolution of Industry 4.0 emphasizes not only automation and connectivity, but also the seamless integration of humancentric cyber-physical systems (CPS). This paper presents a secure, interoperable wireless communication framework based on the emerging Matter and Thread protocols, designed for real-time, local, and privacy-aware interactions between people and machines. While traditional wireless IoT protocols such as Zigbee and Bluetooth face challenges with fragmentation, lack of interoperability, and limited security models, Matter and Thread offer a unified, IP-based mesh network that is vendor-neutral, scalable, and designed with end-to-end encryption and device attestation by default. We apply this architecture to a practical use case in assistive IoT: enabling users with disabilities to interact with smart environments through secure, low-power wireless devices. This includes wearable panic buttons, smart locks, and environmental sensors that respond in real time, even in cloud-disconnected conditions, which is a critical requirement for safety in CPS. The system also supports multi-platform integration (Android, iOS, embedded Linux) without duplicating infrastructure. The paper presents a modular threat model, performance analysis of secure onboarding and encrypted control flows, and discusses deployment challenges in real-world industrial or healthcare automation contexts. This approach demonstrates how inclusive, secure-by-design wireless CPS can be realized with current technologies, contributing to more resilient and human-aware Industry 4.0 systems.

The Common European Data Space for Cultural Heritage (CHDS), operational since 2023 and coordinated by the Europeana Foundation, represents the most mature and forward-thinking sectoral data space within the EU’s Data Strategy. Hosting over 59 million digitised items, it demonstrates a federated, sovereignty-preserving architecture with an exceptionally advanced security posture designed for 2030 threats already in 2025: zero-trust from day one, post-quantum-ready hybrid cryptography, large-scale privacy-by-design using differential privacy and synthetic data, immutable provenance via Merkle-tree logging, and AI-driven anomaly detection tailored to cultural patterns. This paper shows that CHDS far outperforms most current Industry 4.0 data spaces in AI maturity, cyber-resilience, and responsible data governance. Its production-grade multilingual AI pipelines, federated learning framework, and reusable micro-services offer a directly transferable blueprint for manufacturing, predictive maintenance, digital twins, and secure supply-chain collaboration. Already ranked #1 in AI maturity among all 14 European data spaces by the European Commission (2025), CHDS provides industrial stakeholders with battle-tested solutions they no longer need to develop from scratch, accelerating the creation of trustworthy, future-proof Industry 4.0 ecosystems.