An Approach for Ensuring the Privacy in Smart Contracts

Abstract

Ensuring the privacy in smart contracts is critical to the success of the technique. Adequately testing privacy in smart contracts is a practical and effective way for ensuring the privacy. In this research, we experimented with a new approach that leverages the capacity of generative AI for automated testing privacy in blockchain based smart contracts. Generative AI tool ChatGPT was used for modeling privacy in smart contracts and producing tests according to the generated privacy model. The capacity of ChatGPT could have the potential for producing relatively comprehensive privacy requirements and adequate tests. We implemented a smart contract for managing real estate investment in Solidity based on the Ethereum blockchain platform and demonstrated the procedure and effectiveness of the proposed approach.