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.

RenoZEB aims to unlock the nZEB renovation market leveraging the gain on property value through a new systemic approach to retrofitting that will include innovative components, processes and decision making methodologies to guide all value-chain actors in the nZEB building renovation process; including integrated solutions with highest impact in the revalorization of the building. This will be achieved through: (a) Development of an innovative holistic, cost-effective and fast deep retrofitting methodology fornZEB. (b)Supporting the methodology for nZEB renovation, through ICT tools. (c) Development of a cost-effective and non-intrusive prefabricated multifunctional modular “plug and play” system for the renovation of buildings, (d) Increasing the post-retrofitting property value, through the transformation of buildings into an Active Energy. (e)Nodes through a smart control & monitoring system (f) New collaborative multi-value, multi-stakeholder methodologies and decision making process for selecting the best energy efficient renovation strategy. (g) Creation of new drivers of change for the Real Estate Industry creating fresh post-renovated property value schemes. (h) Demonstration to the Market of the Replicability of the Holistic Methodology and New Technologies through. (i) Three Virtual Demonstration sites. (j) Boosting the NZEB market through training and awareness of the value chain. RenoZEB addresses all the relevant aspects from the call, but also many of the issues expressed in the work programme. RenoZEB will provide cost-effective plug&play solutions for a large scale deep NZEB rehabilitation schemes, ensuring the integrability of all its components, methodologies, training, guidelines, and demonstration cases (real and virtual) that show and ensure the replicability of the schemes, and technical tools to appropriately address the valorization of the building stock before and after nZEB renovation schemes are applied.

5G-IANA aims at providing an open 5G experimentation platform, on top of which third party experimenters (i.e., SMEs) in the Automotive-related 5G-PPP vertical will have the opportunity to develop, deploy and test their services. An Automotive Open Experimental Platform (AOEP) will be specified, as the whole set of hardware and software resources that provides the compute and communication/transport infrastructure as well as the management and orchestration components, coupled with an enhanced NetApp Toolkit tailored to the Automotive sector. 5G-IANA will expose to experimenters secured and standardized APIs for facilitating all the different steps towards the production stage of a new service. 5G-IANA will target different virtualization technologies integrating different MANO frameworks for enabling the deployment of the end-to-end network services across different domains (vehicles, road infrastructure, MEC nodes and cloud resources). 5G-IANA NetApp toolkit will be linked with a new Automotive VNFs Repository including an extended list of ready to use open accessible Automotive-related VNFs and NetApp templates, that will form a repository for SMEs to use and develop new applications. Finally, 5G-IANA will develop a distributed AI/ML (DML) framework, that will provide functionalities for simplified management and orchestration of collections of AI/ML service components and will allow ML-based applications to penetrate the Automotive world, due to its inherent privacy preserving nature. 5G-IANA will be demonstrated through 7 Automotive-related use cases in 2 5G SA testbeds. Moving beyond technological challenges, and exploiting input from the demonstration activities, 5G-IANA will perform a multi-stakeholder cost-benefit analysis that will identify and validate market conditions for innovative, yet sustainable business models supporting a long-term roadmap towards the pan-European deployment of 5G as key advanced Automotive services enabler.

Ageing@Work will develop a novel ICT-based, personalized system to support ageing workers (aged 50+) into designing fit-for-purpose work environments and managing flexibly their evolving needs. Advanced dynamically adapted virtual models of workers will incorporate specificities in respect to skills, physical, cognitive and behavioral factors, being extended from the work context to personal life aspects interacting with workability, health and well-being. Virtual workplace models will encode characteristics of the workplace (factory, outdoor work site, home), at both physical and semantic, resource/process levels. On top of the models, computational intelligence will be responsible to (a) assess user specificities and needs i.r.t. work conditions, both in terms of ergonomics, health and safety issues and task assignments, and (b) perform personalized predictive simulations on workability, health and well-being. Recommendations will then be provided both to the worker and company (under strict privacy restrictions), on how the working conditions must adapt. The worker models will be populated by highly unobtrusive worker sensing, both at work, at home and on the move. To foster workability and productivity, highly personalized, intuitive, age-friendly productivity, co-design enhancement tools will be developed, including ones for AR/VR-based context-awareness and telepresence, lifelong learning and knowledge sharing. On top of these, a novel Ambient Virtual Coach (AVC) will encompass an empathic mirroring avatar for subtle notifications provision, an adaptive Visual Analytics –based personal dashboard, and a reward-based motivation system targeting positive and balanced worker behavior at work and personal life, towards a novel paradigm of ambient support into workability and well-being. The integrated system will be developed by user-centered design and will be evaluated at two pilot sites, related to core Industry 4.0 processes of mining and machines production.

DELTA proposes a DR management platform that distributes parts of the Aggregator’s intelligence into lower layers of a novel architecture, based on VPP principles, in order to establish a more easily manageable & computationally efficient DR solution, ultimately aiming to introduce scalability & adaptiveness into the Aggregator’s DR toolkits; the DELTA engine will be able to adopt & integrate multiple strategies & policies provided from its energy market stakeholders, making it authentically modular & future-proof. DELTA will also deliver a fully autonomous architectural design, enabling end-users to escape the hassle of responding to complex price/incentive-based signals, while facilitating active, aware & engaged prosumers, based on innovative award schemes, a social collaboration platform & enhanced DR visualisation. Provision of full-scale market & grid services will be made possible by delivering explicit & implicit-based DR elasticity services, while pushing current market regulatory limitations so that they can be surpassed, and satisfying potential grid constraints related to flexibility activation through Multi-Factor Forecasting and Deep Reinforcement Learning Profiling. Furthermore, DELTA will propose & implement novel multi-agent based, self-learning energy matchmaking algorithms to enable aggregation, segmentation & coordination of several diverse supply & demand clusters, designed end-to-end using well-known, open protocols (i.e. OpenADR), for increasing interoperability. DELTA will set the milestone for data security in future DR applications by not only implementing novel block-chain methods & authentication mechanisms, but also by making use of Smart Contracts which would further secure & facilitate Aggregators-to-Prosumers transactions. Two pilots in UK & Cyprus will realise the DELTA concept, covering a wide variety of residential/tertiary loads (>11GWh), RES generation (>14GWh) & energy storage systems (>9MWh) (average annual measurements).