Deep packet inspection for intelligent intrusion detection in software-defined industrial networks: A proof of concept

Log. J. IGPL Pub Date : 2019-12-31 DOI:10.1093/jigpal/jzz060
M. Sainz, Iñaki Garitano, Mikel Iturbe, Urko Zurutuza
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引用次数: 9

Abstract

Specifically tailored industrial control systems (ICSs) attacks are becoming increasingly sophisticated, accentuating the need of ICS cyber security. The nature of these systems makes traditional IT security measures not suitable, requiring expressly developed security countermeasures. Within the past decades, research has been focused in network-based intrusion detection systems. With the appearance of software-defined networks (SDNs), new opportunities and challenges have shown up in the research community. This paper describes the potential benefits of using SDNs in industrial networks with security purposes and presents the set up and results of a pilot experiment carried out in a scaled physical implementation. The experimental set up consists in the detection of ICMP flood and packet payload alteration based on signature comparison. Results point to the potential viability of the technology for intrusion detection and the need of researching in architectural scalability.
软件定义工业网络中用于智能入侵检测的深度包检测:概念验证
专门定制的工业控制系统(ICS)攻击变得越来越复杂,凸显了对ICS网络安全的需求。这些系统的性质使得传统的IT安全措施不适合,需要明确制定安全对策。在过去的几十年里,研究一直集中在基于网络的入侵检测系统上。随着软件定义网络(sdn)的出现,研究领域出现了新的机遇和挑战。本文描述了在具有安全目的的工业网络中使用sdn的潜在好处,并介绍了在规模物理实现中进行的试点实验的设置和结果。实验主要包括基于特征比较的ICMP flood检测和报文负载变化检测。结果表明,该技术在入侵检测方面具有潜在的可行性,需要进一步研究体系结构的可扩展性。
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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