Multisignature authentication and simulation extractability security optimization for account-based blockchain anonymous systems

Abstract

Account-based blockchain anonymous systems use non-interactive zero-knowledge proof schemes to protect user privacy but suffer from limited functionality and vulnerability to security attacks. This paper addresses these issues by proposing an optimized scheme that improves multi-signature authentication and enhances system security. We designed and implemented the first multi-signature authentication mechanism for account-based blockchain anonymous systems, supporting secure zero-knowledge operations such as deposits, withdrawals, transfers, and payments. Additionally, we enhanced security by upgrading the zk-SNARK proof scheme to SE-SNARK, significantly increasing the system’s resistance to attacks. Experimental results show that our approach improves security, flexibility, and overall system practicality without compromising efficiency.