Securing Cloud Data: Combining SABAC Models, Hash-Tag Authentication with MD5, and Blockchain-Based Encryption for Enhanced Privacy and Access Control

Abstract

This study integrates blockchain-assisted cloud storage (BCAS), MD5-based hash-tag authentication, and symbolic attribute-based access control (SABAC) to propose a strong security architecture for cloud data protection. With the help of vulnerabilities and preventive measures, the suggested method improves data availability, confidentiality, and integrity in cloud environments. While BCAS uses blockchain technology for tamper-proof storage and fine-grained access control, the SABAC approach uses facial recognition and cryptographic hashing for secure authentication. With 99.99% confidentiality, 99.95% integrity, and a quick 0.75-second authentication time, the combined approach performs well and offers a robust response to today's cloud security issues.