Abstract
As critical infrastructure has seen substantial growth in recent years, the security of its Cyber-Physical Systems (CPS) has gained greater significance. The rapid evolution of machine learning technology is being harnessed to detect and prevent these threats. Accordingly, this study establishes a Testbed for gathering pertinent datasets to aid machine learning needs, including model training and attack analysis.