THE IMPORTANCE OF DATA INTEGRITY VERIFICATION METHODS IN CLOUD COMPUTING SYSTEMS

Abstract

With the rapid expansion of cloud computing, ensuring data integrity has become a critical concern for organizations and individuals relying on cloud-based services. Despite trust in cloud providers, risks such as data modification, corruption, and unauthorized access remain prevalent. This paper explores essential data integrity verification methods, including cryptographic protection, third-party auditing, and blockchain-based approaches. Cryptographic hash functions like SHA-256 provide enhanced security by detecting unauthorized alterations, while Zero Trust Architecture (ZTA) principles enforce continuous verification of data authenticity. Additionally, third-party auditors play a crucial role in independently assessing data integrity, mitigating concerns about service provider reliability. Infrastructure-as-a-Service (IaaS) models pose further challenges, as users often lack direct control over security measures. However, implementing advanced techniques such as secret sharing and homomorphic encryption enhances privacy and data protection in cloud environments. Ensuring robust verification methods fosters user trust, encourages cloud adoption, and safeguards critical information from potential cyber threats. This study highlights the importance of integrating comprehensive data integrity mechanisms to maintain the accuracy, consistency, and reliability of cloud-stored data. By strengthening security frameworks, organizations can confidently leverage cloud computing while mitigating risks associated with data breaches and integrity violations.