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Mission accomplished: ASTRID Research and Innovation Action finally delivered

The final review of the ASTRID H2020 project, held virtually on the September 15th, 2021, was completed with success, marking the end of the three-year action. UBITECH successfully demonstrated its use case on secure Voice-over-IP (VoIP) communications using the Kubernetes enabled MAESTRO orchestrator. During the project, UBITECH extended MAESTRO to utilize the community wide accepted Kubernetes orchestration engine, manage it through its dashboard and integrate the Security related plugins of MAESTRO with Kubernetes. Such Security related plugins are BPF, Vulnerability check, Traffic Monitoring, Packet interception, and System auditing.

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Successful Interim Review for Search & Rescue Research and Innovation Action

On the 14th of September, the Consortium of the Search & Rescue H2020 project gathered for their first review meeting that was held virtually. During the meeting, the progress of the project  and the outstanding work carried out during the first 12 months was presented by the WP leaders and relevant Task leaders in a collaborative atmosphere. In the same spirit,  the EU Project  Officer together with 2 experts from the field provided their constructive feedback about the ongoing activities and expressed their enthusiasm about the outcomes and the project’s potential in the area of crisis management. 

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UBITECH and MarineTraffic join forces and win EASME tender on vessel density in European waters

The European Commission’s proposal for tackling climate and environmental-related challenges as set in the 2019 communication for a European Green Deal resets the Commission’s commitment to achieving zero emissions of greenhouse gases in 2050 and stresses the importance of a resource-efficient economy where economic growth is decoupled from resource use. In this context, a sustainable ‘blue’ economy will compensate for the demands in land resources for energy production. Renewable energy sources are expected to play a key role towards a clean energy transition. Offshore facilities for renewable energy production are expected to expand, thus affecting marine activities such as fishing and shipping. Planning for this transition requires improving knowledge of the current status of the European waters.

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UBITECH joins forces with Greener than Green Technologies for a good cause!

With current pressure on the availability of freshwater on the planet, as well as the increasing  demands for water resources, there is a need for fully integrated wastewater solutions that yield more sustainable and resilient systems. In light of the above, UBITECH in collaboration with Greener than Green Technologies (GtG) have entered the DigiCirc accelerator, a programme that promotes new digital technologies as useful tools to address the need for a more environmentally friendly and sustainable economy. The iReCirc team proposes an innovative mobile wastewater treatment unit, designed for the food processing sector, that integrates a multitude of highly adaptive and modular treatment techniques, that can selectively extract and subsequently isolate and purify, dissolved material of high value, and treat the remaining wastewater with a hybrid technology combining physicochemical and biological treatment methods, ready to be operated even by non-experts, with minimum human involvement.

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UBITECH presents a scientific paper on efficient control-flow attestation at IEEE MeditCom Special Session Securing Future Networks

The paper “Towards Efficient Control-Flow Attestation with Software-Assisted Multi-level Execution Tracing” has been accepted for presentation at the Special Session “Securing Future Networks” of the “IEEE International Mediterranean Conference on Communications and Networking” (IEEE MeditCom 2021) that takes place 7-10 September 2021 in Athens, Greece. The UBITECH’s Digital Security and Trusted Computing research group proposes a multi-level execution tracing framework capitalizing on recent software features, namely the extended Berkeley Packet Filter and Intel Processor Trace technologies, that can efficiently capture the entire platform configuration and control-flow stacks, thus, enabling wide attestation coverage capabilities that can be applied on both resource-constrained devices and cloud services.

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UBITECH presents a scientific paper on crowd sensing systems trustworthiness at IEEE MeditCom main theme

The paper “A Perfect Match: Deep Learning Towards Enhanced Data Trustworthiness in Crowd-Sensing Systems” has been accepted for presentation at the main track of the “IEEE International Mediterranean Conference on Communications and Networking” (MeditCom) that will take place 7-10 September 2021 in Athens, Greece. Dr Thanassis Giannetsos, Head of UBITECH’s Digital Security and Trusted Computing Research Group, and his co-authors propose the hybrid use of Deep Learning schemes (i.e., LSTMs) and conventional Machine Learning classifiers (i.e. One-Class Classifiers) for detecting and filtering out false data points due to malevolent input and faulty sensors, so as to cope with the presence of strong, colluding adversaries while at the same time efficiently managing this high influx of incoming user data in the context of the new Mobile Crowd Sensing (MCS) paradigm.

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UBITECH participates at the kick-off of the LAW-GAME Research and Innovation Action on gamification-based training and prediction of criminal actions

UBITECH participates at the virtual kick-off meeting hosted by the European University of Cyprus (September 6-7, 2021) of the LAW-GAME Research and Innovation Action, officially started on September 1st, 2021. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 101021714) and spans on the period September 2021 – August 2024. The LAW-GAME project aims to train police officers’ on the procedure, enhancing the transition between the theory and real life practice through gamification technologies in a safe and controlled virtual environment.

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UBITECH presents a scientific paper on trusted, human-centered manufacturing systems at APMS 2021

The paper “STARdom: an architecture for trusted and secure human-centered manufacturing systems” has been accepted for presentation at the IFIP International conference on “Advances in Production Management Systems” (APMS) that will take place 5-9 September 2021 in Nantes, France. Dr Sofianna Menesidou, Dr Dimitris Papamartzivanos, and Dr Thanassis Giannetsos (members of UBITECH’s Digital Security and Trusted Computing Research Group), and their co-authors propose an architecture fortrusted and human-centered AI systems in pro[1]duction environments. The architecture aims to serve as a blueprint for realizing manufacturing systems that support AI models, Explainable AI (XAI), and Active Learning (AL), while providing security guarantees. It provides structuring principles for integrating these mod[1]ules. It creates synergies between them, aligned with some of the widely-adopted reference models, such as the Big Data Value Association (BDVA) reference architecture model and the Industrial Internet Security Framework (IISF).

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UBITECH presents DataCloud big data pipelines at DistInSys2021

UBITECH’s Giannis Ledakis (Head of Computing Systems, Software and Services Research Group) is attending the 1st IEEE International Workshop on “Distributed and Intelligent Systems” (DistInSys 2021), that is held in conjunction with the 26th IEEE Symposium on Computers and Communications (ISCC 2021), to give a short presentation of the paper entitled “Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview“, produced in the scope of the DataCloud H2020 project (GA Nr 101016835). In the aforementioned presentation, Mr. Ledakis provides an overview of the proposed data pipeline lifecycle produced by DataCloud and this lifecycle will be applied in the five demonstrators of the action.

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UBITECH presents a scientific paper on big data services autonomous orchestration at IEEE BIGDATASERVICE 2021

UBITECH’s paper entitled “Towards Platform-Agnostic and Autonomous Orchestration of Big Data Services” has been accepted to be presented at the 7th IEEE International Conference on Big Data Computing Service and Machine Learning Applications (BIGDATASERVICE 2021) held online, worldwide from August 23rd to August 26th, 2021. The UBITECH’s Privacy-preserving Distributed Machine Learning research group presents a comprehensive microservices architecture to ease the management and enactment of end-to[1]end big data workflow management processes. It is developed along with intuitive graphical user interfaces to abstract and hide to the end user the specificities of the underlying network, storage and compute infrastructure. Entitled as Big Data Apps Composition Environment, it facilitates the design, composition, configuration, orchestration, enactment, and validation of end[1]to-end big data analytic services actuated into deployment workflows. The approach of Ms. Iatropoulou, Mr. Petrou, Dr Karagiorgou and Dr Alexandrou differentiates to the current engines, as it adopts a big data-driven methodology which is scalable to multiple executors and has embedded notebooks for on-demand and real-time scripting analytics. Therefore, big data services and analytic applications deployment are being accelerated, while semi-automatic scaling through the definition of multiple executors for improved time performance of demanding tasks is supported.

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