A Fair Model of Identity Information Exchange Leveraging Zero-Knowledge

TL;DR

This paper proposes a blockchain-based, privacy-preserving, and fair identity information exchange model using zero-knowledge proofs, game theory, and proxy re-encryption to address trust and privacy issues.

Contribution

It introduces a novel model combining game theory, ZK-SNARKs, and proxy re-encryption for fair and private identity data exchange on blockchain.

Findings

Achieves privacy preservation with ZK-SNARKs.

Ensures fairness in identity exchange through game-theoretic mechanisms.

Utilizes IPFS for secure storage of identity information.

Abstract

Many companies use identity information for different goals. There are a lot of marketplaces for identity information. These markets have some practical issues such as privacy, mutual trust and fairing exchange. The management of identity information is one of the most important applications for blockchain, for which researchers have proposed a large number of models. In the present paper, an attempt has been made to solve the problems that mentioned earlier to exchange identity information on the blockchain. By using the game theory we propose a fair model of selling authorized identity information in an environment that include untrusted parties. Moreover, we employ ZK-SNARK to protect users' privacy. Also, we use proxy re-encryption to record these informations in IPFS.