An Integrated Framework for Privacy Preservation and Transaction Obfuscation in Next-Generation Blockchain Architectures

Abstract

With the growing adoption of blockchain technologies across decentralized finance, supply chain, and identity management, the challenge of maintaining transaction privacy while ensuring auditability has become crucial. Traditional obfuscation mechanisms are either too resource-intensive or compromise transparency. This paper proposes an integrated framework that combines advanced cryptographic techniques such as zero-knowledge proofs, mixnets, and homomorphic encryption with modular architectural patterns for blockchain systems. The proposed design aims to optimize transaction obfuscation while preserving system integrity and user privacy. Preliminary literature review reveals gaps in scalability and real-time processing in prior frameworks, motivating our unified model.