近期欧洲网络安全研究与创新项目综述

Pub Date : 2022-01-01 DOI:10.36244/icj.2022.4.10
M. Çaglayan
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引用次数: 1

摘要

本文回顾了几个欧盟项目的研究,这些项目使用基于机器学习的技术来解决网络安全问题,包括移动网络和物联网(IoT)的安全性。这些研究项目考虑了物联网网关及其设计、安全性和性能、欧洲各地互联的数字卫生系统的安全性,这些系统为在欧盟旅行的人们提供卫生服务,以及信息和通信技术(ICT)中的能源消耗和可持续性及其网络安全的相关问题。这些研究项目中使用的方法大多基于机器学习,用于攻击检测和动态攻击缓解,以及基于应用概率模型的性能分析和测量技术。
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Review of Some Recent European Cybersecurity Research and Innovation Projects
This paper reviews research from several EU Projects that have addressed cybersecurity using techniques based on Machine Learning, including the security of Mobile Networks and the Internet of Things (IoT). These research projects have considered IoT Gateways and their design, security and performance, the security of digital health systems that are interconnected across Europe to provide health services to pople who travel through the EU, and related issues of the energy consumption and sustainability in Information and Communication Technologies (ICT) and their cybersecurity. The methods used in much of these research projects are based on Machine Learning both for attack detection and dynamic attack mitigation, as well as performance analysis and measurement techniques based on applied probability models.
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