AI and Quality of Service Driven Attack Detection Mitigation and Energy Optimization: A Review of Some EU Project Results

Abstract

This article summarizes briefly the contributions presented in this EuroCyberSecurity Workshop 2021 which is organized as part of the series of International Symposia on Computer and Information Sciences (ISCIS) with the support of the European Commission funded IoTAC Project that was held on November and in NIce France and sponsored by the Institute of Teoretical and Applied Informatics of the Polish Academy of Sciences. It also summarizes some of the research contributions of several EU Projects including NEMESYS GHOST KONFIDO SDK4ED and IoTAC primarily with a cybersecurity and Machine Learning orientation. Thus subjects covered include the cybersecurity of Mobile Networks and of the Internet of Things (IoT) the design of IoT Gateways and their performance the security of networked health systems that provide health services to individuals across the EU Member states as well as the issues of energy consumption by ICT which are becoming increasingly important including in the cybersecurity perspective as we focus increasingly on climate change and the needed transition towards highly reduced emissions. Many of the techniques and results discussed in this article are based either on Machine Learning (ML) methods or on methods for the performance modeling and optimization of networked and distributed computer systems. © 2022 Elsevier B.V. All rights reserved.