The IoT is coming upon us faster than we think, catapulting EU industry, homes and society into the huge arena of security risks that accompany an untested yet already universal technology that directly manages our cyber-physical reality on a daily, and indeed second by second, basis. Attacks on content and quality of service of the IoT platforms can have economic, energetic and physical security consequences that go way beyond the traditional Internet’s claimed lack of security, and beyond the threats posed by attacks to mobile telephony. The secure SerIoT platform is a key step that can be used to implement secure IoT platforms and networks anywhere and everywhere. The SerIoT project will develop, implement and test a generic IoT framework based on an adaptive smart Software Defined Network with verified software, secure routers, advanced analytics, and user friendly visual analytics. SerIoT will optimize the information security in IoT platforms and networks in a holistic, cross-layered manner (i.e. IoT platforms & devices, honeypots, SDN routers and operator’s controller) that will be based both on dynamic and distributed processing of variable complexity by single network components (i.e. IoT platforms, devices and honeypots will perform lightweighted processes while SDN routers will be shouldered with more heavy processes), as well as on a centrally located server/controller that will have the main control of the network and will collect, aggregate and fuse the relevant information. Large-scale pilots will test SerIoT technology in various use cases including intelligent transport and surveillance, flexible manufacturing within Industrie 4.0 and other emerging domains such as food chain & logistics, m-Health (both at Home & in Hospitals business scenarios) and energy (smart grid).Through these technology developments and test-beds, the project will deliver a unique portable software-based SerIoT network that can spearhead Europe’s success in the IoT.

The Internet-of-Energy (IoE) is a revolutionary paradigm towards achieving the EU’s zero-carbon goal through enabling intelligent and automated energy management across the entire lifecycle of energy planning, storage, distribution, and maintenance. Operating in highly complex environments characterised by intermittent and volatile renewable energy generation, dynamic energy demands, large-scale distributed energy integration, and stringent resilience and security requirements, IoE faces fundamental challenges in constructing accurate and real-time digital representation, securing Artificial Intelligence (AI) solutions, optimising energy management, and diagnosing device faults and failures. To address these challenges, SAILING aims to establish a multidisciplinary network of world-leading academic and industrial partners to create a ground-breaking smart system for energy management and fault diagnosis powered by innovative digital twin and secure AI technologies. Specifically, SAILING will pioneer transformative research and innovations, including: 1) AI-driven high-fidelity digital twin for IoE digital representation, 2) Secure and reliable AI for IoE empowered by Blockchain and adversarial machine learning, 3) Intelligent and scalable predictive energy management and optimisation, and 4) Deep learning-based rapid fault detection and accurate failure prediction. SAILING will train 12 Early-Stage Researchers across sectors and disciplines in the novel concepts and methodologies of smart IoE, equip them with sought-after professional and transferable skills, foster broader perspectives, and cultivate them to become future leaders in IoE. Through cutting-edge research and multidisciplinary cross-sectoral collaborations, SAILING will drive scientific breakthroughs with innovative digital twin and secure AI technologies for realising reliable, resilient, and energy-efficient smart IoE, and revolutionising the energy sector for a more sustainable and cleaner future.

Q-FENCE is a transformative initiative aimed at securing tomorrow’s digital infrastructure with quantum-resistant cryptography. In response to the rising threats posed by quantum computing, Q-FENCE develops a robust hybrid framework integrating classical, quantum, and post-quantum cryptographic techniques. Utilizing innovative approaches such as Ring-LWE, Module-LWE, Quantum Random Number Generators, and hardware-accelerated primitives, the project establishes a dual-layer security model that fortifies data protection across diverse infrastructures. Leveraging hardware-accelerated primitives and energy-efficient protocols, Q-FENCE ensures quantum resilience while addressing critical challenges such as seamless integration with legacy systems, regulatory compliance, and scalable deployment. By addressing key challenges like legacy system integration, interoperability, and regulatory compliance, it ensures a phased and seamless adoption across sectors including finance, healthcare, IoT, satellite and digital networks. Through sector-specific demonstrators, best-practice guidelines, and collaboration with EU policymakers, Q-FENCE bridges the gap between theoretical advancements and real-world applications, fostering digital sovereignty and resilience. Positioned as a critical player in the quantum-ready future, Q-FENCE not only safeguards sensitive data but also empowers stakeholders with practical, scalable, and innovative post-quantum solutions.

IoTAC project aims to deliver a novel, secure and privacy-friendly IoT architecture that will facilitate the development and operation of more resilient IoT service environments through (i) monitoring and evaluation of applications security throughout the broader software development lifecycle; (ii) the introduction of an advanced access control mechanism based on new interactions and workflow using chip card and PKI technology; (iii) the runtime monitoring of the system as well as provisioning of security countermeasures that are implemented both at hardware- and at software-level and (iv) associated platforms which will provide security certification of the produced applications and system, based on international security standards, best practices and the research results of the project. The results will be demonstrated (TRL5) with four IoT use case implementations. The consortium comprises all stakeholders of the IoT ecosystem, service operators, OEMs, technology providers, developers, security experts, as well as research and academic partners. The end users will be involved by using a living lab environment. Objectives of the project will be fostered by a strong dissemination and communication program also comprising standardisation and community building, supporting the commercial and scientific exploitation of the results.

Reactive Too: Reliable Electronics for Tomorrow’s Active Systems is a research-focused project that brings together a unique team of academic and industrial members. This team will form a tight confederation to tackle challenging aspects of reliability and future developments in electronic systems. European organisations from Finland, France, Poland and the UK are involved. Each partner country will supply both industrial and academic units. ReACTIVE Too will do research into design for reliability for electronics-based systems. This includes the introduction of an agile hardware development cycle with virtual techniques to uniquely address reliability and physical validation in active safety systems. Exemplar systems from partner companies in Automotive and Healthcare will be used to validate the ideas. Finnish partners who have a track record in wearable electronics will bring their research in smart textiles to the team. Innovation in terms of design and integration of these smart textiles into the challenging environments of automotive and care homes will enhance driver information and ambient assisted living. The project team is very privileged to have French partners doing world-leading research and production of unique devices in energy harvesting. Further innovation in ReACTIVE Too will bring novel flexible energy harvesters for integration into many sensors. Industrially leading work is planned to be led by Polish partners to investigate the possibilities of applying AI, deep learning and prognostics to future electronics systems. These innovations should allow a unique assessment of long term reliability and shorten development cycle times, saving energy and money. The team will be developed through a series of workshops and secondments. Future plans will be developed during these interactions to target new research and innovation topics and more intense interactions by making future joint funding proposals.