Traffic Analysis in Support of Hybrid SDN Campus Architectures for Enhanced Cybersecurity

William Brockelsby, R. Dutta
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引用次数: 3

Abstract

The scale and complexity of campus networks continues to accelerate due to recent paradigms such as the Internet of Things (IoT) resulting in a heightened awareness of the need for enhanced cybersecurity. Traditional cybersecurity approaches such as the placement of firewalls and other policy enforcement mechanisms at strategic choke points effectively divide the network into zones and are unable to regulate intrazone host-to-host communication. This traditional approach introduces significant risk as there is little in place to prevent the horizontal propagation of malware or other unwanted traffic within a given zone. In this paper we explore approaches for improving cybersecurity in campus networks by analyzing contemporary campus traffic patterns and propose several architectural enhancements in light of these patterns which introduce strategically placed hardware or hardware-accelerated software data planes which are evaluated from performance and effectiveness perspectives.
支持混合SDN校园架构的流量分析,增强网络安全
由于物联网(IoT)等最新范例的出现,校园网络的规模和复杂性不断加速,从而提高了对增强网络安全需求的认识。传统的网络安全方法,如在战略瓶颈点放置防火墙和其他策略执行机制,有效地将网络划分为区域,并且无法调节区域内主机对主机的通信。这种传统方法带来了巨大的风险,因为在给定区域内几乎没有适当的措施来防止恶意软件的水平传播或其他不需要的流量。在本文中,我们通过分析当代校园流量模式来探索改善校园网络安全的方法,并根据这些模式提出了几种架构增强,这些模式引入了战略性放置的硬件或硬件加速的软件数据平面,并从性能和有效性的角度进行了评估。
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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