CyberSec4Europe - Securing and Preserving Privacy Sharing Health Data

ERCIM News
In the context of EU Horizon 2020 CyberSec4Europe project the medical data exchange demonstrator creates a trusted ecosystem for sharing medical data in a secure and privacy preserving manner.

Engineering Resource-Efficient Data Management for Smart Cities with Apache Kafka

Future Internet
In terms of the calibre and variety of services offered to end users, smart city management is undergoing a dramatic transformation.

Governance Mesh Approach for Cybersecurity Ecosystem

Plovdiv (Bulgaria)
Four EU pilot projects were launched in 2019 (ECHO, SPARTA, CSEU, and CONCORDIA) with the focus on specific context of EU Regulation that is establishing the European Cybersecurity Competence Centre (ECCC), together with the Network of National Coordination Centers (NCCs), and Competence communit

Current Hot Topics in Data Protection

Big Data Value Association
The BDVA position paper Current Hot Topics in Data Protection summarizes the latest and emerging challenges and developments in the field, with a focus on the European Union: "The new paper introduces pr

Digital Sovereignty in Cyber Security

Cybersec4Europe project has been quite influential as a pilot of the Cyber Competence Network, contributing to a wide and rich community of cybersecurity stakeholders.

Analyzing Particularities of Sensor Datasets for Supporting Data Understanding and Preparation

Special Issue Applied Data Science and Intelligence
Data scientists spend much time with data cleaning tasks, and this is especially important when dealing with data gathered from sensors, as finding failures is not unusual (there is an abundance of research on anomaly detection in sensor data).

KRAKEN - Brokerage and Market Platform for Personal data

'Fighting Cyber-Crime'
The EU Horizon 2020 KRAKEN project is dedicated to building a trusted and secure personal data platform enabling exchange and analytics of personal data.

AI for dating stars: a benchmarking study for gyrochronology

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
In astronomy, age is one of the most difficult stellar properties to measure, and gyrochronology is one of the most promising techniques for the task.

Common pathways and functional profiles reveal underlying patterns in Breast, Kidney and Lung cancers

BMC – Biology Direct
Background: Cancer is an extremely heterogeneous disease, both intra and inter cancer types.

Developing Cyber-risk Centric Courses and Training Material for Cyber Ranges: A Systematic Approach

Title: Developing Cyber-risk Centric Courses and Training Material for Cyber Ranges: A Systematic Approach Topics: Security Awareness and Education; Threat Awareness

Functional Signatures in Non-Small-Cell Lung Cancer: A Systematic Review and Meta-Analysis of Sex-Based Differences in Transcriptomic Studies

Special Issue Diagnostic and Predictive Biomarkers in Lung Cancer
While studies have established the existence of differences in the epidemiological and clinical patterns of lung adenocarcinoma between male and female patients, we know relatively little regarding the molecular mechanisms underlying such sex-based differences.

Application of Artificial Intelligence Techniques for the Creation of Novel Services Based on Connected Vehicles

Book: Intelligent System Solutions for Auto Mobility and Beyond
New technologies have been progressively integrated into vehicles during the last thirty years.

3D human big data exchange between the health and garment sectors. Lessons learned in the BodyPass project

BodyPass
3D personal data is a type of data that contains useful information for product design, online sale services, medical research and patient follow-up.

An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications

MDPI Sensors
The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept.

An Approach to Support Automated Deployment of Applications on Heterogeneous Cloud-HPC Infrastructures

22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
Complex applications, which include microservices, computationally intensive batch jobs, and sophisticated interaction with the external environment, demand for heterogeneous computational infrastructures that range from cloud to HPC and edge computing.

An approach to train and evaluate cybersecurity skills of participants in cyber ranges based on cyber risk models

There is an urgent need for highly skilled cybersecurity professionals, and at the same time there is an awareness gap and lack of integrated training modules on cybersecurity related aspects on all school levels.