The goal of FutureTPM is to design a Quantum-Resistant (QR) Trusted Platform Module (TPM) by designing and developing QR algorithms suitable for inclusion in a TPM. The algorithm design will be accompanied with implementation and performance evaluation, as well as formal security analysis in the full range of TPM environments: i.e. hardware, software and virtualization environments. Use cases in online banking, activity tracking and device management will provide environments and applications to validate the FutureTPM framework. Security, privacy and trust in a computing system are usually achieved using tamper-resistant devices to provide core cryptographic and security functions. The TPM is one such device and provides the system with a root-of-trust and a cryptographic engine. However, to sustain this enhanced system security it is crucial that the crypto functions in the TPM are not merely secure for today but will also remain secure in the long-term against quantum attacks. FutureTPM will address this challenge by providing robust and provably-secure QR algorithms for a new generation of TPMs. Research on quantum computers has drawn enormous attention from governments and industry; if, as predicted, a large-scale quantum computer becomes a reality within the next 15 years, existing public-key algorithms will be open to attack. Any significant change to a TPM takes time and requires theoretical and practical research before adoption. Therefore, to ensure a smooth transition to QR cryptography we should start now. A key strategic objective of FutureTPM is to contribute to standardization efforts at EU level within TCG, ISO/IEC and ETSI. The consortium consists of high calibre industrial and academic partners from across Europe, combining QR crypto researchers with TPM developers. Because the TPM shares many functions in common with other widely-used devices, such as HSMs and TEEs, the FutureTPM solution is expected to benefit them as well.

Utilities are facing political pressure to reduce the energy end use by their customers and GHG emissions. Consumers, on the other hand, are empowered by the proliferation of IT interfaces and multiplication of channels. Their expectations for everything-anytime-anywhere interaction are redefining the nature of (energy) services. The advent of smart building technologies for energy efficiency reveal a mega-trend on the evolution of consumer choices and highlight the need for addressing their requirements for user-friendly, meaningful and actionable communication. Faced with these realities, business as usual is no longer an option for energy utilities. They must seek new sources of revenues by introducing bundled building energy management service packages including energy efficiency, smart controls and automation. The UtilitEE project will provide a customer-oriented Behavioural Change Framework (Energy-as-a-Service delivery approach via an open ICT ecosystem integrated into the building with off-the-shelf sensors). It focuses on discovering, quantifying and revealing energy-hungry activities and conveys meaningful feedback to engage users into a continuous process of learning and improvement. UtilitEE will leverage well-known behavioural models/ theories and standardized operational rating/ certification methods. It will also incorporate human-centric intelligent control features that use occupant comfort profiles and supportively control HVAC and lights so as to minimize energy waste, while always keeping occupants comfortable and preserving a healthy indoor environment. The framework will be validated in real-life conditions by a large population of residential and commercial consumers and aims to reduce energy use by ~30%. Validation activities will also explore future business models and go-to-market strategies for utilities. A holistic roadmap and business plan for the exploitation and replication of project results will be delivered.

The EOSC-hub project creates the integration and management system of the future European Open Science Cloud that delivers a catalogue of services, software and data from the EGI Federation, EUDAT CDI, INDIGO-DataCloud and major research e-infrastructures. This integration and management system (the Hub) builds on mature processes, policies and tools from the leading European federated e-Infrastructures to cover the whole life-cycle of services, from planning to delivery. The Hub aggregates services from local, regional and national e-Infrastructures in Europe, Africa, Asia, Canada and South America. The Hub acts as a single contact point for researchers and innovators to discover, access, use and reuse a broad spectrum of resources for advanced data-driven research. Through the virtual access mechanism, more scientific communities and users have access to services supporting their scientific discovery and collaboration across disciplinary and geographical boundaries. The project also improves skills and knowledge among researchers and service operators by delivering specialised trainings and by establishing competence centres to co-create solutions with the users. In the area of engagement with the private sector, the project creates a Joint Digital Innovation Hub that stimulates an ecosystem of industry/SMEs, service providers and researchers to support business pilots, market take-up and commercial boost strategies. EOSC-hub builds on existing technology already at TRL 8 and addresses the need for interoperability by promoting the adoption of open standards and protocols. By mobilizing e-Infrastructures comprising more than 300 data centres worldwide and 18 pan-European infrastructures, this project is a ground-breaking milestone for the implementation of the European Open Science Cloud.

The vision of MATILDA is to design and implement a holistic 5G end-to-end services operational framework tackling the lifecycle of design, development and orchestration of 5G-ready applications and 5G network services over programmable infrastructure, following a unified programmability model and a set of control abstractions. It aims to devise and realize a radical shift in the development of software for 5G-ready applications as well as virtual and physical network functions and network services, through the adoption of a unified programmability model, the definition of proper abstractions and the creation of an open development environment that may be used by application as well as network functions developers. Intelligent and unified orchestration mechanisms will be applied for the automated placement of the 5G-ready applications and the creation and maintenance of the required network slices. Deployment and runtime policies enforcement is provided through a set of optimisation mechanisms providing deployment plans based on high level objectives and a set of mechanisms supporting runtime adaptation of the application components and/or network functions based on policies defined on behalf of a services provider. Multi-site management of the cloud/edge computing and IoT resources is supported by a multi-site virtualized infrastructure manager, while the lifecycle management of the supported Virtual Network Functions Forwarding Graphs (VNF-FGs) as well as a set of network management activities are provided by a multi-site NFV Orchestrator (NFVO). Network and application-oriented analytics and profiling mechanisms are supported based on real-time as well as a posteriori processing of the collected data from a set of monitoring streams. The developed 5G-ready application components, applications, virtual network functions and application-aware network services are made available for open-source or commercial purposes, re-use and extension through a 5G marketplace.

The European aviation industry needs to leverage the surge of multi-source and multi-lingual data streams to gain augmented intelligence on its status quo and open up a wide spectrum of unprecedented services for the whole ecosystem (airlines, airports, passengers, service providers, manufacturers, local authorities, etc.). ICARUS will build a novel data value chain in the aviation-related sectors towards data-driven innovation and collaboration across currently diversified and fragmented industry players, acting as multiplier of the “combined” data value that can be accrued, shared and traded, and rejuvenating the existing, increasingly non-linear models / processes in aviation. Using methods such as big data analytics, deep learning, semantic data enrichment, and blockchain powered data sharing, ICARUS will address critical barriers for the adoption of Big Data in the aviation industry (e.g. data fragmentation, data provenance, data licensing and ownership, data veracity), and will enable aviation-related big data scenarios for EU-based companies, organizations and scientists, through a multi-sided platform that will allow exploration, curation, integration and deep analysis of original, synthesized and derivative data characterized by different velocity, variety and volume in a trusted and fair manner. ICARUS will bring together the Aerospace, Tourism, Health, Security, Transport, Retail, Weather, and Public sectors and accelerate their data-driven collaboration under the prism of a novel aviation-driven data value chain. Representative use cases of the overall domain’s value chain include: (I) Sophisticated passenger handling mechanisms and personalised services on ground facilities, (II) Enhanced routes analysis of aircrafts for improved fuel consumption optimisation and pollution awareness, (III) More accurate and realistic prediction model of epidemics, (IV) Novel Passenger experiences pre-in- and post-flight.