A Survey on Industrial Control System Testbeds and Datasets for Security Research

The increasing digitization and interconnection of legacy Industrial Control Systems (ICSs) open new vulnerability surfaces, exposing such systems to malicious attackers. Furthermore, since ICSs are often employed in critical infrastructures (e.g., nuclear plants) manufacturing companies chemical industries), attacks can lead devastating physical damages. In dealing with this security requirement, the research community focuses on developing mechanisms as Intrusion Detection (IDSs), facilitated by leveraging modern machine learning techniques. However, these algorithms require a testing platform considerable amount data be trained tested accurately. To satisfy prerequisite, Academia, Industry, Government increasingly proposing testbed (i.e., scaled-down versions or simulations) test performances IDSs. enable researchers cross-validate security-by-design concepts anomaly detectors), several datasets have been collected from testbeds shared community. paper, we provide deep comprehensive overview ICSs, presenting architecture design, devices, protocols implemented. We then collect, compare, describe literature, highlighting key challenges design guidelines keep mind phases. enrich our work reporting best performing IDS every dataset create baseline state art for field. Finally, driven knowledge accumulated during survey's development, report advice good practices choice, utilization testbeds, datasets,