A detailed analysis of public industrial control system datasets
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 lo...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Inderscience Publishers
2023
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/108581/7/108581_A%20detailed%20analysis%20of%20public%20industrial%20control.pdf http://irep.iium.edu.my/108581/13/108581_A%20detailed%20analysis%20of%20public%20industrial%20control_SCOPUS.pdf http://irep.iium.edu.my/108581/ https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijsn |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English English |
| Summary: | 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. |
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