A Scalable and Privacy-Focused Blockchain Framework Using Attribute-Based Security Policy

Abstract - Traditional blockchain systems rely on Merkle trees built from classical hash functions like SHA-256, which face growing challenges from quantum computing threats and scalability limitations in large-scale data verification. To address these issues, we propose a parameter-hopping Merkle tree framework that integrates a pseudorandom number generator (PRNG) with lattice-based cryptography. Our design introduces dynamically generated lattice parameters to enhance post-quantum security and improve flexibility for distributed data storage and verification. The system constructs a provably secure hash chain using extended-domain lattice-based hash functions (LBHFs), supporting arbitrary-length inputs and enabling adaptive, efficient verification in peer-to-peer environments. Experimental validation in a cloud storage scenario demonstrates that the proposed approach achieves stronger quantum resilience while maintaining high efficiency and reduced proof sizes compared to traditional blockchain infrastructures.