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UBITECH presents the Technical Challenges and the Real-world Testbeds of the CYBELE H2020 Innovation Action at the BDVA HPC, Big Data, IoT and AI Future Industry-driven Collaborative Strategic Topics Workshop

The BDVA organized workshop on HPC, Big Data, IoT and AI future industry-driven collaborative strategic topics took place virtually on May 5th, 2020, aiming to analyse in depth the challenges, limitations and longer term perspectives of the Large Scale Pilot actions, that are currently being developed in the context of the ICT-11-2018-2019 calls to demonstrate the potential of these technologies in the implementation of industrial pilot test-beds, as well as other existing relevant ongoing projects and activities in other programmes. These pilots ad test-beds deal with data coming from different industrial and business domains, such as manufacturing, health and healthcare, agri-food, finance, and other business or public sector domains. Although the particular sectors covered by the pilots provide a diversity of challenges, there are many common difficulties that have to be overcome. The aim of the workshop is to outline future research and innovation needs in terms of convergence and alignment of the basic technologies and their utilization in industry and specially SMEs.

In this context, UBITECH represented the CYBELE H2020 Innovation Action that aspires at demonstrating how the convergence of HPC, Big Data, Cloud Computing (services) and the IoT can revolutionise farming, reduce scarcity and increase our nation’s food supply in a dramatic fashion, bringing enormous social, economic, and environmental benefits. In particular, CYBELE Project Coordinator Dr. Steven Davy from WIT and CYBELE Technical Coordinator Dr. Sophia Karagiorgou from UBITECH presented the technical challenges, the research activities and the convergence of Big Data, HPC and AI technologies in the CYBELE Testbeds applicable to the Precision Agriculture and the Precision Livestock Farming contexts. Within CYBELE, UBITECH undertakes the technical coordination, leads the realization of large scale HPC-enabled test beds and delivers a distributed big data management architecture and a data management strategy providing 1) integrated, unmediated access to large scale datasets of diverse types from a multitude of distributed data sources, 2) a data and service driven virtual HPC-enabled environment supporting the execution of multi-parametric agri-food related impact model experiments, optimizing the features of processing large scale datasets and 3) a bouquet of domain specific and generic services on top of the virtual research environment facilitating the elicitation of knowledge from big agri-food related data, addressing the issue of increasing responsiveness and empowering automation-assisted decision making, empowering the stakeholders to use resources in a more environmentally responsible manner, improve sourcing decisions, and implement circular-economy solutions in the food chain.

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UBITECH co-organizes a scientific workshop on Dependability and Safety Emerging Cloud and Fog Systems

With research and academic partners from the FutureTPM, ASTRID, CUREX and SECONDO H2020 European co-funded research projects, UBITECH co-organizes the 1st Workshop on Dependability and Safety Emerging Cloud and Fog Systems(DeSECSys) that will take place in September 17-18, 2020, in Guildford, United Kingdom, co-located with the 25th European Symposium on Research in Computer Security (ESORICS 2020).

Given that information security and privacy have already been established as some of the most crucial aspects of technology especially in a world that is migrating to digital applications by the day, this has inevitably led to the emergence of technologies that support the safety and dependability of the ever-increasing sensitive data handled by these applications. Additionally, besides these technologies which target security by their design, there are other technologies, such as machine learning, which could potentially be applied to security in innovative schemes. The goal of the DeSECSys workshop is to foster collaboration and discussion among cyber-security researchers and practitioners to discuss the various applications, opportunities and possible shortcomings of these technologies and their integration. Effectively the DeSECSys workshop aims to produce a collection of state-of-the-art research about emerging security technologies, their applications, their shortcomings and their verification with a focus on their uncompromised, in terms of security, safety and dependability, integration.

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UBITECH team submits CovIDpass, the Citizen’s COVID-19 Immunity Certificate, at the Global Hack

Twelve members of UBITECH team, including Software Engineers, Web Developers, UI/UX Experts, Data Scientists, Mobile Developers and Blockchain Engineers, have submitted the CovIDpass idea and proof-of-concept at the online hackathon of Global Hack, entitled “Fight for our Future” (https://theglobalhack.devpost.com/), that takes place on April 9-12, 2020 and attracted more than 6,000 individuals submitting more than 1,000 ideas. CovIDpass proposes a privacy-preserving and secure infrastructure for the issuance and validation of the COVID-19 Immunity Certificate of citizens, enabling their mobility across different countries.

As COVID-19 is rapidly spreading across the globe, more restrictions on cross-country travelling are being imposed, significantly disrupting the air transportations. Worldwide public health safety restrictions have grounded more than 80% of flights, leading the industry and populations’ movement in unprecedented turbulence. It is inevitable that these strict policies are going to gradually transform into a system that incoming passengers will be obliged to prove their health status. Therefore, a global standardized COVID-19 immunity certification will be asked before boarding, as the humanity needs to ensure that in the post-COVID crisis era, people may move between countries in an objectively riskless fashion, both for themselves as well as for the public safety.

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UBITECH undertakes the technical coordination of the TheFSM Innovation Action on Food Safety industrial data markets

UBITECH is participating at the kick-off e-meeting (March 27, 2020) of the TheFSM Innovation Action , officially started on February 1st, 2020. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 871703) and spans on the period February 2020 – January 2023. The vision of the TheFSM project is to deliver an industrial data platform that will significantly boost the way that food certification takes place in Europe. The platform will facilitate the exchange and connection of data between different food safety actors, who are interested in sharing information critical to certification. The project is going to accelerate the pace by which this type of certification bodies (in Europe and beyond) adopt digital innovation and offer data-driven services. Eventually, TheFSM aspires to catalyse the digital evolution of the quite traditional but very data-intensive business ecosystem of global food certification.

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Successful final review for the ANASTACIA H2020 Research and Innovation Action in Brussels

The final contractual review meeting for the ANASTACIA H2020 co-funded research project (http://www.anastacia-h2020.eu) with external reviewers and project officer from the EC side took place in Brussels on February 19, 2020. The ANASTACIA consortium successfully presented the results of the work of the project at the final 18 months of project. ANASTACIA consortium developed a trustworthy-by-design security framework which address security in all the phases of the ICT Systems Development Lifecycle (SDL) that is able to take autonomous decisions through the use of new networking technologies such as Software Defined Networking (SDN) and Network Function Virtualisation (NFV), continuous security monitoring, and intelligent and dynamic security enforcement. During the review meeting, the ANASTACIA consortium demonstrated how the ANASTACIA framework had protected a Smart Building from various adversaries and attacks using compromised devices, and how it had provided a holistic framework for security by-design suitable for Cyber Physical Systems (CPS) based on IoT and Cloud architectures. UBITECH was leading the integration and testing activities of the ANASTACIA project, and developed a highly scalable data filtering mechanism for collecting and aggregating all security logs.

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Successful final review for the InteropEHRate H2020 Research and Innovation Action in Luxembourg

The first contractual review meeting for the InteropEHRate H2020 co-funded research project (https://www.interopehrate.eu/) took place in Luxembourg on February 13, 2020. InteropEHRate aims to support peoples’ health by opening them up new ways to make health data available where needed. To make this possible, key health data is managed in “patients’ hands”, i.e. through Smart EHRs (S-EHR) on mobile devices. Data is always transferred via highly secure channels including a direct device-to-device. The InteropEHRate consortium successfully presented the results of the work of the project during the first 12 months of project. UBITECH, as the leader of health record security and privacy protocols of the project, presented the security and privacy mechanisms adopted in InteropEHRate for both the remote and device-to-device protocols. These mechanisms include two variants for identity management (one of them utilizes qualified digital signatures for eIDAS regulation compliance), double-signed consent management and pluggable authentication based on Keycloak Identity and Access Management.

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Successful final review for the PrEstoCloud H2020 Research and Innovation Action in Brussels

The second and final contractual review meeting for the PrEstoCloud H2020 co-funded research project took (https://prestocloud-project.eu) place in Brussels on February 6, 2020. The PrEstoCloud consortium has successfully presented the results of the work of the project at the final 18 months of project. UBITECH developed and integrated a highly efficient security mechanism for Cloud and Edge devices and provided a toolkit for networking connectivity with end-to-end encryption for Cloud and Edge devices, even on the go, based on latest mesh networking advancements. UBITECH, who constitutes the integrator of PrEstoCloud, has supported the three pilot organizations to demonstrate PrEstoCloud in three diverse use cases, i.e. Video Surveillance, Logistics and Mobile Journalism, taking the initiative for the creation of an assistive web-based user interface that ease users to achieve elastic deployments for processing data at both Cloud and Edge.

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UBITECH undertakes the administrative and technical coordination of RAINBOW Research and Innovation Action on Trusted Fog Computing

UBITECH is hosting the kick-off meeting, in Athens, Greece (February 5-6, 2020), of the RAINBOW Research and Innovation Action, officially started on January 1st, 2020. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 871403) and spans on the period January 2020 – December 2022. The vision of the RAINBOW is to design and develop an open and trusted fog computing platform that facilitates the deployment and management of scalable, heterogeneous and secure IoT services and cross-cloud applications (i.e, microservices). RAINBOW falls within the bigger vision of delivering a platform enabling users to remotely control the infrastructure that is running, potentially, on hundreds of edge devices (e.g., wearables), thousands of fog nodes in a factory building or flying in the sky (e.g., drones), and millions of vehicles travelling in a certain area or across Europe.

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Successful final review for the UNICORN H2020 Innovation Action in Brussels

The second and final contractual review meeting for the UNICORN H2020 co-funded research project (https://unicorn-project.eu/) took place in Brussels on February 4, 2020. The UNICORN consortium successfully presented the results of the work of the project during the last 18 months of project (from M19 up until M36). UBITECH, as the leader of WP3 entitled Orchestration and Resource Management, presented the updates in the technical architecture and the technical highlights of the UNICORN platform. UBITECH also presented its proof of concept demonstrator, utilizing the UNICORN platform for the multi-Cloud deployment of its CryptoPhone Voice-over-IP secure telephony solution, showcasing the simplified design, deployment and management of secure and elastic – by design – multi-Cloud services. This was achieved by developing a policy and security aware, multi-cloud orchestrator that combines resource management, containerized services deployment over microVMs, and constant policy enforcement for managing optimized elasticity (developed mainly by UBITECH). UBITECH contributing also in the dissemination of and the increase of the general awareness about the UNICORN by participating at the DockerCon 2019 (San Francisco, USA) as a Copper Sponsor and demonstrating its MAESTRO Orchestrator, that constitutes UBITECH’s commercial offering of the UNICORN platform incorporating some of the UNICORN platform’s components developed by UBITECH. Finally, UBITECH has supported most of the twelve validation contest winners SMEs to benefit from the UNICORN platform in the frame of the development and deployment of their services and has got great feedback about the improvements and added-value features that the UNICORN platform needs, going the extra mile and implementing the most of them before the final review.

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UBITECH undertakes the coordination of ASCAPE Research and Innovation Action on Big Data and Machine Learning technologies for the support of cancer patients quality of life

UBITECH is hosting the kick-off meeting, in Athens, Greece (January 28-29, 2020), of the ASCAPE Research and Innovation Action, officially started on January 1st, 2020. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 875351) and spans on the period January 2020 – December 2022. The ASCAPE project aims to take advantage of the recent ICT advances in Big Data, Artificial Intelligence and Machine Learning to support cancer patients’ quality of life and health status. To achieve its objective, ASCAPE will create an open AI infrastructure that will enable health stakeholders (hospitals, research institutions, companies, etc.) to deploy an edge-node locally and execute the AI algorithmson their private data without the need to send their data outside their domain. Any new knowledge produced by this process will be sent back to the open AI infrastructure. This way the knowledge will be shared among everyone and the medical data will remain private. With this feature, ASCAPE is aiming at democratizing access to cancer support. In particular, with ASCAPE even less developed countries or small healthcare providers (small rural hospitals) that do not possess large amounts of medical data, can connect to ASCAPE and benefit from its collective knowledge.

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