APPLICATION AND PERFORMANCE OPTIMIZATION OF SHA-256 HASH ALGORITHM FOR BLOCKCHAIN INFRASTRUCTURES

This paper presents a comprehensive study on the application, hardware/software implementation optimization, and cryptographic resilience analysis of the SHA-256 cryptographic hash algorithm within blockchain networks. As the foundation of modern distributed ledger technologies, Proof-of-Work consensus, and Merkle tree state verification, SHA-256 ensures data immutability and transactional integrity. We evaluate processing execution latency, bit propagation rate (Avalanche Effect), pre-image collision vulnerability metrics under quantum Grover estimations, and memory throughput across various transaction payload configurations. Empirical benchmark results demonstrate that SHA-256 maintains a strict 50.02% average bit variation during single-bit flipping, verifying robust avalanche characteristics. Furthermore, algorithm pipelining and parallelized execution models achieve up to 34% speedup in block hashing performance, reinforcing transaction throughput in highly scalable decentralized networks.