The main objective of this paper is to provide the roadmap of existing ICS cybersecurity datasets, testbeds and digital twins, and provide the identification of research gaps and recommendations on creation of new tools.
Abstract
Industrial Control Systems (ICS) are the backbone of many critical infrastructure sectors; however, their growing level of connectivity, long lifespan and integration with the Information Technology (IT) environment introduces numerous cybersecurity challenges. The merging of Operational Technology (OT) and IT along with the deployment of Industry 4.0 technologies increases the attack surface of ICS environments, which in turn makes them more vulnerable to advanced cyber threats. Therefore, many researchers have shown interest in the field of cybersecurity of ICS. The topics of intrusion detection, anomaly detection, threat intelligence, attack simulation and resilience assessment of ICS have received much attention. Nevertheless, the development and testing of cybersecurity solutions for ICS remains to be challenging due to the lack of appropriate datasets and experimental environment. The main objective of this paper is to provide the roadmap of existing ICS cybersecurity datasets, testbeds and digital twins. This paper presents various taxonomies along with systematic analysis of architecture, characteristics, capabilities, pros and cons of these tools. The results of the analysis demonstrate the presence of persistent problems such as lack of standardized benchmarking datasets, lack of modern attack scenarios, insufficient number of datasets based on real operational traffic and difficulty in validating artificial intelligence-driven cybersecurity solutions. In addition to summarizing current research on ICS cybersecurity datasets and testbeds, this roadmap provides the identification of research gaps and recommendations on creation of new tools.
A comparative analysis of 34 ICS cybersecurity testbeds within a Purdue-aligned framework based on two complementary dimensions: Functional Maturity (FM) and Architectural Completeness (AC) reveals that many platforms provide advanced experimentation capabilities while offering only partial representation of industrial...
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Industrial Control Systems (ICS) form the backbone of critical infrastructure, enabling automation and control in sectors such as energy, water, and manufacturing. The convergence of Operational Technology (OT) and Information Technology (IT) has introduced significant cybersecurity challenges, particularly for legacy...
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A structured taxonomy is proposed to organize various dimensions of AI-driven cybersecurity; review them critically; and finally, discuss key challenges, open problems, and emerging trends.