AGILE will design, develop, and apply a holistic methodological framework and practical tools for understanding, assessing, managing, and communicating HILPs events with a systemic risk and resilience perspective. The project will combine and integrate a wide range of established and innovative methodologies into a novel and replicable multi-sectoral risk and resilience stress testing methodology to better: UNDERSTAND (Systems theory, Lateral thinking, Strategic Foresight, Machine Learning) ANTICIPATE (Scenario Building & table-top exercises, Multi-Criteria Decision Analysis, Machine Learning) and MANAGE (Resilience assessment, capability development strategic training) These approaches and services will be co-created within a unique transdisciplinary consortium of research organisations, NGOs, SMEs, first responders, and local and regional authorities. The scalable and replicable methods will enable for the identification of common points of failure of critical societal functions in response to compounding low probability high impact threats as well as provide recommendations for both risk-informed system hardening and threat-agnostic systemic recovery. The project will ultimately improve the strategic and operational risk management capacities and capabilities of DRM stakeholders on local, regional and national level and thus strengthening the societal resilience to new and emerging risks in Europe and beyond. The project provides the means and the methodology to ensure a wide ranging impact of its results to not only improve the understanding, anticipation and management of HILP risks and events, but the direct and wide-ranging contribution to key European and international policy priorities and global challenges such as the EU disaster risk management policies (in particular UCPM), the European Green Deal priorities (EU Climate Adaptation Strategy), as well as the EU Security Union Strategy.

The wider objective of ALIOT is to provide studies in the emerging field of Internet of Things (IoT) according to the needs of the modern society; to bring the universities closer to changes in global ICT labour market and world education sphere; to give students an idea of various job profiles in different IoT domains. ALIOT will strengthen the internationalisation dimension of the postgraduate programme for higher education systems through the incorporation of Bologna objectives which ensure the transparency of the quality assurance systems, governance and management systems. It will also provides mobility opportunities for staff and students across higher education in Europe and Ukraine. The situation listed in Section E will change when the following specific objectives have been met.Specific project objectives:1. To introduce a Multi-domain and integrated IoT programme for master students in UA universities by September 2019;2. To introduce a Multi-Domain and integrated IoT programme for doctoral students in UA universities by September 2019;3. To provide the mechanism for intensive capacity building measures for UA CT tutors by September 2019;4. To establish Multi-Domain IoT Cluster Network in Ukraine by September 2019.Application domains for IoT-based system: Human {People; Homeland}; Business-critical {Banking; E-business; Telecom}; Safety-Critical {Smart building; Auto and Intelligent transport systems; Ecomonitoring}.The aim of Multi-Domain IoT Cluster Network is to integrate all available and produced curriculum, methodics and tools for providing training and consultancy services in the area of IoT-based systems for different application domains: Human, Business-critical, Safety-Critical. The network will be a means for knowledge sharing, exchange, and transfer. It will also promote public awareness of the cutting edge IoT-related concepts, technologies, and applications.

Over the last decade, cyber-attacks have become increasingly sophisticated, stealthy, targeted and multi-faceted which may leverage zero-day exploits and highly creative interdisciplinary attack methods. As our society is becoming increasingly dependent on Critical INfrastructures (CIN), new technologies are needed to increase our detection and response capabilities. Detecting and responding to such attacks by a highly motivated, skilled and well-funded attacker has however been proven highly challenging. One of the most vulnerable and high-impact CIN is the Smart Grid. Smart Grid is considered as the next-generation power system, which promises self-healing, resilience, sustainability and efficiency to the energy Critical Infrastructures (CIN). However, securing smart grids against cyber-attacks is of vital importance for National Security and Public Safety, since the collapse of an energy production utility may cause human lives, millions of euros, denial of a very important and common good such as energy and days or even months of recovering. To this end, the SPEAR proposal aims at a) detecting and responding to cyber-attacks using new technologies and capabilities, b) detecting threat and anomalies timely, c) developing all-in-one security detection solutions, d) leveraging advanced forensics subject to privacy-preserving, e) confronting Advanced Persistent Threat (APT) and targeted attacks in smart grids, f) increasing the resilience of the smart grid innovation, g) alleviating the lack of trust in smart grid operators and h) empowering EU-wide consensus. Within SPEAR, four proof-of-concept Use Cases are planned in order to validate and assess the implemented security and privacy tools.

In the era of hyper-connected digital economies, the smart technologies play a vital role in the operation of the Electrical Power and Energy Systems (EPES), transforming it into a new, decentralised model with multiple benefits, such as distributed generation, pervasive control, remote monitoring, and self-healing. However, the growing number of cybersecurity incidents in EPES promotes the need for shielding against a variety of threats, ranging from cyberattacks, dynamic and evolving Advanced Persistent Threats (APTs), and privacy violations, to electricity disturbances and severe human errors caused by lack of relevant training. The diverse threats that modern EPES are facing require novel and holistic solutions that employ cutting-edge technologies to detect and mitigate threats, while continuously assessing the dynamic EPES environment, ensuring compliance with the latest cybersecurity standards and training the EPES personnel to appropriately respond to cybersecurity incidents and mitigate the human-error factor. Considering these, ELECTRON aims at delivering a new-generation EPES platform, capable of empowering the resilience of energy systems against cyber, privacy, and data attacks through four main pillars (risk assessment and certification, anomaly detection and prevention, failure mitigation and energy restoration, and addressing internal threats and gaps through AR-VR-based personnel training and certification), while fostering the cyber protection standardisation and certification via three novel authorities, namely the cybersecurity lighthouse, the cybersecurity training and certification authority, and the energy trading centre.