SEAchain: A Privacy-Preserving Dual-Credential Model on Blockchain

Abstract

All facets of daily life are now impacted by transaction data. The complex and heterogeneous network created by millions of users, devices, online services, and applications makes digital identity management more difficult. Users can maintain control over their personal information via distributed identity, a potentially useful model for resolving identity issues. Nevertheless, current state-of-the-art techniques are inappropriate because of persistent problems with transactional data and device resource restrictions, privacy and security concerns, and the absence of a systematic proof framework. In light of this, we present SEAchain in this paper as a unique distributed identity system built on a blockchain that aims to provide robust privacy preservation and self-sovereign identity. To establish a distributed identity independent of central providers, we configure transactional data to create a Sybil-resistant, unlinkable, and supervisable identity. Additionally, we implement a dual-credential model utilizing zero knowledge proofs and the Secret Encryption Algorithm (SEA) to protect the privacy of crucial attributes, on-chain identification, and credential linking. This paper introduces SEAchain, a blockchain-based distributed identity system that facilitates autonomous identity management with strong privacy protections. It eliminates dependence on centralized identity providers through a Sybil-resistant, unlinkable, and supervisable identity framework that supports light nodes. A dual-credential mechanism utilizing commitment schemes and zero-knowledge proofs safeguards sensitive attributes and onchain identity data. The system features an efficient proving process for both basic and complex credential verification. Security assessments confirm SEAchain’s robustness, while experimental results demonstrate its enhanced efficiency in generating credentials and constructing proofs.