A Comprehensive Review of Blockchain-Integrated Cloud Security Models

Abstract

Cloud Computing is a key technology for making digital ecosystems. Cloud technology has significant benefits for users, but it can also have considerable risks. It can cause significant problems with data safety, hacking, and loss of trust. These problems can come from the way cloud computing is run within centralized control systems. In response to these vulnerabilities, the emergence of blockchain technology has created a decentralized alternative that leverages features such as immutable records, transparent and automated processes created using smart contracts. The following review outlines the emerging state-of-the-art cloud computing security model using blockchain technology through a review of decentralized identity management, provenance tracking, intelligent contract-access control, secure storage frameworks, blockchain-based intrusion detection systems, and decentralized key management systems. A comparative research review indicates that using hybrid Artificial Intelligence (AI)-blockchain solutions, intrusion detection accuracy, trust management reliability and resilience to tampering have been significantly improved. In addition, model performance of Bidirectional Long Short-Term Memory (BiLSTM) blockchain-based frameworks, based on the use of lightweight blockchain-based Convolutional Oversampling Synthetic Neural Network (COSNN) architectures, quantum-assisted encryption, has proven to achieve accuracy rates of up to 99.84%, indicating that the combination of these technologies represents the future of cloud computing security, and offers a platform for future research toward scalable and interoperable privacy-and trust-preserving cloud computing-based-manufactured models.