轻量级主动安全检测容器化ICPS中的DDoS攻击

Farzana Zahid, Matthew M. Y. Kuo, R. Sinha
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引用次数: 2

摘要

在工业信息物理系统(ICPS)中,容器化保证了高可扩展性、可重构性和可靠性。拒绝服务(DoD/DDoS)在容器化ICPS应用程序中是一个重大的安全威胁,这些应用程序在资源受限的计算机(如plc)上执行,并且不能支持传统的安全机制(如牺牲性能和吞吐量的防火墙)。我们提出了一种新颖的、轻量级的主动安全方法,通过对网络流量(数据包)的频率分析来检测DoS/DDoS攻击。我们的方法通过记录正常操作下ICPS中数据包流的频率签名来识别攻击。随后,攻击被建模为网络中修改ICPS中网络流量频率配置文件的任何异常。我们的原型实现和评估表明,这种主动安全方法轻量级,适合资源受限的ICPS平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Light-Weight Active Security for Detecting DDoS Attacks in Containerised ICPS
In Industrial Cyber-Physical Systems (ICPS), containerisation promises high scalability, reconfigurability and dependability. Denial of Service (DoD/DDoS) is a significant security threat in containerised ICPS applications, which execute on resource-constrained computers like PLCs, and cannot support traditional security mechanisms like firewalls that sacrifice performance and throughput. We propose a novel, light-weight active security approach to detecting DoS/DDoS attacks through frequency analysis of network traffic (packets). Our approach identifies attacks by recording a frequency signature of the flow of packets in an ICPS under normal operation. Subsequently, an attack is modelled as any anomalies in the network that modify the frequency profile of network traffic in the ICPS. Our prototype implementation and evaluation show that this active security method is light-weight and suitable for resource-constrained ICPS platforms.
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