ICSSIM-A Framework for Building Industrial Control Systems Security Simulation Testbeds
Alireza Dehlaghi-Ghadim, Ali Balador, Mahshid Helali Moghadam, Hans, Hansson, Mauro Conti

TL;DR
ICSSIM is a flexible, low-cost framework for creating realistic virtual industrial control system testbeds using Docker, enabling safe, customizable security research and validation of intrusion detection methods.
Contribution
The paper introduces ICSSIM, a novel framework that simplifies building customizable, high-fidelity ICS security testbeds with realistic network and physical process simulation.
Findings
ICSSIM effectively simulates cyber threats and attacks.
The framework reduces development time for ICS testbeds.
Validation shows realistic attack scenarios can be tested.
Abstract
With the advent of smart industry, Industrial Control Systems (ICS) are increasingly using Cloud, IoT, and other services to meet Industry 4.0 targets. The connectivity inherent in these services exposes such systems to increased cybersecurity risks. To protect ICSs against cyberattacks, intrusion detection systems and intrusion prevention systems empowered by machine learning are used to detect abnormal behavior of the systems. Operational ICSs are not safe environments to research intrusion detection systems due to the possibility of catastrophic risks. Therefore, realistic ICS testbeds enable researchers to analyze and validate their intrusion detection algorithms in a controlled environment. Although various ICS testbeds have been developed, researchers' access to a low-cost, adaptable, and customizable testbed that can accurately simulate industrial control systems and suits…
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Taxonomy
TopicsSmart Grid Security and Resilience · Network Security and Intrusion Detection · Digital and Cyber Forensics
