Device discovery and identification in industrial networks

IF 0.7 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS
Klaus Biß, Jörg Kippe, Markus Karch
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引用次数: 0

Abstract

Abstract The Act on Federal Office for Information Security (BSI Act) explicitly mandates the use of attack detection systems. The BSI works together with operators of process plants as well as discrete manufacturing facilities in order to test sensors, which may be part of such systems, in their networks. This gives the BSI the opportunity to record a collection of network traffic from those plants. One goal is to improve the detection and characterization of devices in industrial networks by implementing new or enhanced features for the open source network monitoring tool suite Malcolm. In this context, the recording of the network traffic represents the starting point for further investigations. This paper highlights what needs to be considered in these recordings to serve as a basis for device identification and characterization.
工业网络中的设备发现和识别
摘要《联邦信息安全办公室法案》(BSI法案)明确要求使用攻击检测系统。BSI与工艺工厂和离散制造设施的运营商合作,在其网络中测试传感器,传感器可能是此类系统的一部分。这使BSI有机会记录这些工厂的网络流量集合。一个目标是通过实现开源网络监控工具套件Malcolm的新功能或增强功能,改进工业网络中设备的检测和表征。在这种情况下,网络流量的记录代表了进一步调查的起点。本文强调了在这些记录中需要考虑的内容,以作为设备识别和表征的基础。
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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来源期刊
At-Automatisierungstechnik
At-Automatisierungstechnik 工程技术-自动化与控制系统
CiteScore
2.00
自引率
10.00%
发文量
99
审稿时长
6-12 weeks
期刊介绍: Automatisierungstechnik (AUTO) publishes articles covering the entire range of automation technology: development and application of methods, the operating principles, characteristics, and applications of tools and the interrelationships between automation technology and societal developments. The journal includes a tutorial series on "Theory for Users," and a forum for the exchange of viewpoints concerning past, present, and future developments. Automatisierungstechnik is the official organ of GMA (The VDI/VDE Society for Measurement and Automatic Control) and NAMUR (The Process-Industry Interest Group for Automation Technology). Topics control engineering digital measurement systems cybernetics robotics process automation / process engineering control design modelling information processing man-machine interfaces networked control systems complexity management machine learning ambient assisted living automated driving bio-analysis technology building automation factory automation / smart factories flexible manufacturing systems functional safety mechatronic systems.
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