Title : Cyber Security for Cross Domain Reliable Dependable Automated Systems. Goal : SECREDAS aims to develop and validate multi-domain architecting methodologies, reference architectures & components for autonomous systems, combining high security and privacy protection while preserving functional-safety and operational performance.

5G-TIMBER project aims to validate through robust evidence the latest 5G Industrial Private Network features and standards specifications for Wood Value Chain (WVC) under realistic conditions. In particular, to conduct advanced field trials of the more representative and innovative data-driven material, production and installation flows that implicate manufacturing across 4 prominent industries in the wood sector including, machinery and wood house elements manufacturing, construction and renovation towards green buildings, wood waste valorisation, and established telecom SME industries in a project remit that spans 3 representative European regions (Norway, Estonia, Finland). The project incentivises the opportunistic uptake of 5G in real-life business conditions. Specifically, 5G- TIMBER will target to increase wood-based materials recycling by 50%, increase manufacturing productivity by 15%, reach 99% of the work done in the factory (vs. 85% today), reduce on-site work by 10%, reduce product nonconformities by 10%, and increase the safety of workers in wooden houses production and onsite assembling. Validation of above overall targets through >100 interdisciplinary innovation driven technical, business and service-level KPIs for 09 diverse WVC usecases across 3 categories i.e., data driven sawmill woodworking machines; modular wood-house factory; construction and renovation with wooden elements, valorisation of composite waste. Usecases will be incrementally validated by 2 lab trials followed by 2 field trials in iterative cycle covering significant portions of end-to-end WVC. 5G-TIMBER also includes a comprehensive business case and exploitation strategy that incorporates novel approaches to materializing the value of data produced in industrial environments based upon 4 distinct business models. Our 16-partner consortium is driven by strong industrial and SME partners, renowned organisations the majority of which participate in FoF cPPP, 5G-PPP, GD projects.

The next generation of wireless communication networks, 6G, is set to revolutionize the scope and potential of networked services by offering ultra-high data rates, ultra-low latency, ultra-reliability, and energy efficiency. However, to fully realize the benefits of 6G, it is crucial to ensure efficient and effective orchestration of its broad range of services and resources. ELASTIC proposes a novel approach to 6G service orchestration that utilizes cutting-edge technologies, including WebAssembly (Wasm), Function-as-a-Service (FaaS), and edge Internet of Things (IoT) orchestration, to enable flexible and efficient serverless deployment of services and functions, dynamic scaling and optimization of service delivery, and collaborative processing of large datasets in a privacy-preserving manner. ELASTIC's approach addresses the critical issue of security in 6G orchestration by leveraging Confidential Computing with Trusted Execution Environments (TEEs), and by implementing security policies and service level agreements provided by verticals in edge cloud-native environments and enclaves. To support the development of this approach, ELASTIC will conduct extensive research on executable isolation, early detection of security vulnerabilities, comparative study of Kubernetes eBPF solutions for observability, and assessment of WASM security properties. ELASTIC will also develop a comprehensive infrastructure that includes an open-source framework and interfaces for cross-platform and portable drivers, low-latency, real-time monitoring of cluster-distributed eBPF/XDP and WASM for security issues, high-speed, secure communication algorithms, distributed state synchronization algorithms, and an observability framework for WebAssembly-based serverless/FaaS workloads in Kubernetes. The impact of the ELASTIC will be materialised within the active contribution of the project to referent open-source projects (Linux, Kubernetes, etc), communities, and standards.

Our society is continuously demanding more and more intelligent devices, along with network infrastructures and distributed services that make our daily lives more comfortably. However, the frantic adoption of Internet of Things (IoT) technologies has led to widespread implementations without a deep analysis about security matters. This project encompasses the complete design of a platform, so-called SPIRS platform, which integrates a hardware dedicated Root of Trust (RoT) and a processor core with the capability of offering a full suite of security services. Furthermore, the SPIRS platform will be able to leverage this capability to support privacy-respectful attestation mechanisms and enable trusted communication channels across 5G infrastructures. RoT is implemented in hardware with a dedicated circuitry to extract a unique digital identifier for the SPIRS platform during its entire lifetime. To build a complete solution, the project also features a Trusted Execution Environment (TEE), secure boot, and runtime integrity. Furthermore, resilience and privacy protection are major concerns in this project, and it endeavors to the design of a decentralized trust management framework targeted to minimize the impact of Single Point of Failure (SPOF) risks and achieve adequate security and privacy tradeoffs. To facilitate the tasks of validation and testing, SPIRS platform is conceived as an open platform that can easily integrate other building blocks and facilities upgrades. The project goes beyond the construction of the SPIRS platform and it provides solutions to integrate it in the deployment of cryptographic protocols and network infrastructures in a trustworthy way, leveraging the RoT provided by the platform. To validate SPIRS results, the project considers two different scenarios: Industry 4.0 and 5G Technologies.

The main objective of the storAIge project is the development and industrialization of FDSOI 28nm and next generation embedded Phase Change Memory (ePCM) world-class semiconductor technologies, allowing the prototyping of high performance, Ultra low power and secured & safety System on Chip (SoC) solutions enabling competitive Artificial Intelligence (AI) for Edge applications. The main challenge addressed by the project is on one hand to handle the complexity of sub-28nm ‘more than moore’ technologies and to bring them up at a high maturity level and on the other hand to handle the design of complex SoCs for more intelligent, secure, flexible, low power consumption and cost effective. The project is targeting chipset and solutions with very efficient memories and high computing power targeting 10 Tops per Watt. The development of the most advanced automotive microcontrollers in FDSOI 28nm ePCM will be the support technology to demonstrate the high performances path as well as the robustness of the ePCM solution. The next generation of FDSOI ePCM will be main path for general purpose advanced microcontrollers usable for large volume Edge AI application in industrial and consumer markets with the best compromise on three requirements: performances, low power and adequate security. On top of the development and industrialization of silicon process lines and SoC design, storAIge will also address new design methodologies and tools to facilitate the exploitation of these advanced technology nodes, particularly for high performance microcontrollers having AI capabilities. Activities will be performed to setup robust and adequate Security and Safety level in the final applications, defining and implementing the good ‘mixture’ and tradeoff between HW and SW solutions to speed up adoption for large volume applications.