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With the advent of smart industry, Industrial Control Systems (ICS) areincreasingly using Cloud, IoT, and other services to meet Industry 4.0 targets.The connectivity inherent in these services exposes such systems to increasedcybersecurity risks. To protect ICSs against cyberattacks, intrusion detectionsystems and intrusion prevention systems empowered by machine learning are usedto detect abnormal behavior of the systems. Operational ICSs are not safeenvironments to research intrusion detection systems due to the possibility ofcatastrophic risks. Therefore, realistic ICS testbeds enable researchers toanalyze and validate their intrusion detection algorithms in a controlledenvironment. Although various ICS testbeds have been developed, researchers'access to a low-cost, adaptable, and customizable testbed that can accuratelysimulate industrial control systems and suits security research is still animportant issue.  In this paper, we present ICSSIM, a framework for building customized virtualICS security testbeds, in which various types of cyber threats and attacks canbe effectively and efficiently investigated. This framework contains baseclasses to simulate control system components and communications. ICSSIM aimsto produce extendable, versatile, reproducible, low-cost, and comprehensive ICStestbeds with realistic details and high fidelity. ICSSIM is built on top ofthe Docker container technology, which provides realistic network emulation andruns ICS components on isolated private operating system kernels. ICSSIMreduces the time for developing ICS components and offers physical processmodelling using software and hardware in the loop simulation. We demonstratedICSSIM by creating a testbed and validating its functionality by showing howdifferent cyberattacks can be applied.

ICSSIM-A Framework for Building Industrial Control Systems Security Simulation Testbeds