A detailed analysis of public industrial control system datasets

Babiker, Asaad Balla Falelmula and Habaebi, Mohamed Hadi and Mubarak, Sinil and Islam, Md. Rafiqul (2023) A detailed analysis of public industrial control system datasets. International Journal of Security and Networks, 18 (4). pp. 245-263. ISSN 1747-8405 E-ISSN 1747-8413

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Abstract

A wide range of critical infrastructures such as power systems, water distribution systems, gas pipelines, and others are controlled and monitored using industrial control systems (ICSs). Recently, security attacks against ICSs are increasing at an alarming rate. These systems cannot afford to lose the availability of service; a cyber-attack can cause catastrophic damage. Intrusion detection systems (IDSs) are the first defence line against such attacks. To develop an effective IDS, a well-designed dataset is a must. In this paper, we present a detailed analysis of public intrusion datasets for ICSs. Focusing on the way security researchers used them to develop an IDS, their results, and the effect of the dataset’s drawbacks. We performed exploratory data analysis (EDA), principal component analysis (PCA), and binary classification using random forest (RF) model. We believe this analysis will help the developers of the next generation of ICS-related IDSs.

Item Type:	Article (Journal)
Uncontrolled Keywords:	intrusion detection system; IDS; industrial control system; ICS; datasets; cyber security; information security
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering
Depositing User:	Dr. Mohamed Hadi Habaebi
Date Deposited:	06 Dec 2023 12:20
Last Modified:	06 Dec 2023 12:20
URI:	http://irep.iium.edu.my/id/eprint/108581

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