UBITECH is participating at the kick-off meeting, in Genova, Italy (July 23-24, 2019), of the SPIDER Innovation Action, officially started on July 1st, 2019. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 833685) and spans on the period July 2019 – June 2022. The SPIDER project intends to deliver an innovative Cyber Range as a Service (CRaaS) platform that extends and combines the capabilities of existing telecommunication testbeds and cyber ranges with the most recent advances in telecommunications management and emulation, gamification and serious games training as well as economics of cybersecurity, and uniquely virtualises them to become available as a single and easily accessible solution. The proposed SPIDER cyber range platform rests on three major pillars: (1) cybersecurity testing and assessment, with emphasis on new security technologies; (2) cybersecurity training in defending against advanced cyber-attacks; and (3) cybersecurity investment decision support.
In particular, the vision of SPIDER is to deliver a next-generation, extensive, and replicable cyber range platform for the telecommunications domain and its fifth generation (5G), offering cybersecurity emulation, training and investment decision support. Towards this vision, it features integrated tools for cyber testing including advanced emulation tools, novel training methods based on active learning as well as econometric models based on real-time emulation of modern cyber-attacks. SPIDER supports both self-paced and team-based exercising and acts as a serious gaming repository for multiple stakeholders to share training material and maximise efficiency in delivering complex cyber exercises.
The second and final contractual review meeting for the AEGIS H2020 co-funded research project (
The first contractual review meeting for the BigDataStack H2020 funded research project, under Grant Agreement No 779747, took place in Luxembourg on July 16, 2019. The BigDataStack project delivers an infrastructure management system for the holistic management of computing, storage and networking resources, encompassing techniques for runtime adaptations of all BigDataStack operations and realizing Data as a Service through seamless data functions across the complete data path and lifecycle. BigDataStack incorporates approaches that range from data-focused application analysis and dimensioning, process modelling, cluster resources / nodes characterization, management and runtime optimization, to information-driven networking.
Following a peer-review process, Computer Methods and Programs in Biomedicine Journal published by Elsevier has accepted to publish a scientific manuscript entitled “
UBITECH presented the ICARUS project at the European Big Data Value Public-Private Partnership (BDV-PPP) – Summit on 26-28 June 2019 in Riga. The BDV PPP Summit is the primary event for driving European in Big Data and Artificial Intelligence. The focus of the Summit was the “Impact empowered by Data-driven Artificial Intelligence” and hundreds of organisations from key European industries, academia and policy-making were gathered in order to foster cross-sector collaboration and shape strategies for European leadership in data-driven Artificial Intelligence.
A scientific paper entitled “Secure Edge Computing with Lightweight Control-Flow Property-based Attestation” has been co-authored by UBITECH and is presented at the 1st International Workshop on Cyber-Security Threats, Trust and Privacy Management in Software-defined and Virtualized Infrastructures (SecSoft), co-hosted at 5th IEEE International Conference on Network Softwarization (NetSoft 2019), between June 24-28, 2019 in Paris, France. In this paper, Sofianna Menesidou, Panagiotis Gouvas, and their co-authors propose a lightweight dynamic control-flow property-based attestation architecture (CFPA) that can be applied on both resource-constrained edge and cloud devices and services.
UBITECH is participating at the kick-off meeting, in Seville, Spain (June 4-5, 2019), of the SDN-microSENSE Innovation Action, officially started on May 1st, 2019. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 833955) and spans on the period May 2019 – April 2022. The SDN-microSENSE project intends to provide a set of secure, privacy-enabled and resilient to cyberattacks tools, thus ensuring the normal operation of Electrical Power and Energy Systems (EPES) as well as the integrity and the confidentiality of communications.
A scientific paper entitled “Unveiling Trends and Predictions in Digital Factories” has been authored by UBITECH and is presented at the International Workshop on IoT Applications and Industry 4.0 (IoTI4 2019) that is part of the annual International Conference on Distributed Computing in Sensor Systems (DCOSS 2019), hosted between May 29-31, 2019 in Santorini, Greece. In this paper, Karagiorgou Sophia, Vafeiadis Georgios, Ntalaperas Dimitrios, Lykousas Nikolaos, Vergeti Danae and Alexandrou Dimitrios propose a failure prediction system for complex IT systems in the steel industry. The novelty of their work lies in the exploitation of Deep Learning techniques from streaming operational sensor data, enabling earlier failure predictions through a Neural Networks approach [in particular, through Long Short-Term Memory Networks (LSTM) that is a Recurrent Neural Network (RNN) architecture]. This predictive maintenance framework consists of three components: the Sense Module, the Detect Module and the Predict Module. To evaluate the proposed framework, real-life data are collected and analyzed based on daily operational and maintenance activities within the production line. They further demonstrate the framework’s potential by presenting some early results in modeling and predicting the complex and dynamic behavior in the manufacturing settings.
UBITECH participates in the kick-off meeting, in Limassol, Cyprus of the PERSEPHONE Cypriot research project, officially started on May 21st, 2019. The project is co-funded by the “Research in Enterprises” action of the multi-annual development framework of Programmes RESTART 2016-2020 for the support of Research, Technological Development and Innovation in Cyprus (Grant Agreement No. ENTERPRISES/0916/0063) and spans on the period May 2019 – May 2021. The PERSEPHONE project aims to design and deploy an innovative IT ecosystem for motivating end-users’ behavioural changes towards the adoption of energy efficient lifestyles, building upon the evolvements in the Internet of Things, Data Modelling and Analysis and Recommendation and Gamification eras.
A scientific paper entitled “Personalised Monitoring and Recommendation Services for At-Risk Individuals Employing Machine-Learning and Decision Support” has been co-authored by UBITECH and is presented at the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), the flagship conference of IEEE Engineering in Medicine and Biology Society (IEEE-EMBS) on the topics of informatics and computing in healthcare and life sciences, hosted between May 19-22, 2019 in Chicago, IL, USA. In this paper, Perakis Konstantinos, Pitsios Stamatis, Miltiadou Dimitrios, and their co-authors propose a technological solution, facilitating the provision of personalised health related services exploiting Big Data analytics, aiming to improve the everyday living and enhance the wellbeing of vulnerable individuals such as chronic disease patients, focusing mainly on patients suffering from COPD and/or CVD.
