Fair-trading protocol for anonymised datasets requirements and solution

In this paper, we present the design of a fair-trading protocol for an anonymized dataset in a public data trading market between data brokers and data analysts, and the fairness of the protocol is analyzed using a theoretical approach for asset functions and gain functions of a data broker and a data analyst. Our protocol is an essential building block for establishing a trusted data trading market as a fundamental platform for the digital economy.