Security-focused Networks of the Future

Sandra Scott-Hayward
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Abstract

Network attack and data breach statistics are abundant; from the 2020 Cisco Annual Internet Report citing an anticipated increase in Distributed Denial-of-Service (DDoS) attacks from 7.9 million in 2018 to 15.4 million by 2023, to almost daily reports of data breaches, hackers targeting network device vulnerabilities, attacks on network services etc. This is, of course, unsurprising. Our lives are increasingly reliant on communication networks. In 2020, because of the COVID-19 pandemic, we have seen the accelerated provision of health services in the home and an increased prevalence of home schooling and working. This has placed a significant burden on our home networks, one which cyber-criminals have been only too eager to exploit. The challenge to protect network users extends from there. So, what does cyber security look like in the networks of the future? The emergence of technologies such as Software-Defined Networking (SDN), Network Functions Virtualization (NFV), and Multi-Access Edge Computing (MEC) enable innovation in network security, but these technologies create additional attack surfaces. Dramatic advances in Machine Learning (ML) and Artificial Intelligence (AI) techniques are influencing security services and design for security, but they can also be exploited to produce sophisticated attacks. How can we leverage these technologies while managing the challenge of the attacker to better protect, secure and maintain resilient networks? Can we deliver scalable, analytics-based, security-focused network orchestration and management? This talk will introduce our latest research addressing these challenging questions, present developments in the field, and discuss future research directions.
以安全为重点的未来网络
网络攻击和数据泄露统计数据丰富;《2020年思科年度互联网报告》指出,分布式拒绝服务(DDoS)攻击预计将从2018年的790万次增加到2023年的1540万次,几乎每天都有数据泄露、黑客针对网络设备漏洞、网络服务攻击等报道。当然,这并不奇怪。我们的生活越来越依赖于通信网络。2020年,由于2019冠状病毒病大流行,我们看到在家中提供卫生服务的速度加快,在家上学和在家工作的比例增加。这给我们的家庭网络带来了沉重的负担,而网络犯罪分子却急于利用家庭网络。保护网络用户的挑战从那里延伸开来。那么,未来网络的网络安全是什么样子的呢?软件定义网络(SDN)、网络功能虚拟化(NFV)和多接入边缘计算(MEC)等技术的出现使网络安全得以创新,但这些技术也创造了额外的攻击面。机器学习(ML)和人工智能(AI)技术的巨大进步正在影响安全服务和安全设计,但它们也可以被利用来制造复杂的攻击。在应对攻击者挑战的同时,我们如何利用这些技术来更好地保护、保护和维护有弹性的网络?我们能提供可扩展的、基于分析的、以安全为中心的网络编排和管理吗?本讲座将介绍我们针对这些具有挑战性的问题的最新研究,目前在该领域的发展,并讨论未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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