In this paper we explore the problem of data coun-terfeiting in the context of data trading platforms for industrial data. We focus on the methods and mechanisms that allow data trading platforms to determine whether a dataset is original and/or authentic and whether it conflicts with the licence terms of existing data. We present the state of the art methods for data similarity suited for the various types of data and we present the functionalities and architecture of a data trading platform module that safeguards against data counterfeiting for newly introduced datasets within the platform.