Enhancing Data Privacy and Integrity in Cloud With Cutting Edge Through Data Auditing Techniques and Quantum AI Applications in Blockchain Technology
Babu S. Venkatesh, K. Senthilkumar · Advances in computational intelligence and robotics book series · 2024
Cloud computing has revolutionised service delivery over the internet, providing significant benefits in flexibility, scalability, and efficiency. Despite these advantages, security concerns remain a critical issue, particularly regarding data integrity and confidentiality. This paper proposes a novel approach to address these concerns through an advanced public auditing technique overseen by a third-party auditor (TPA), integrating the Blowfish algorithm for robust data protection. Quantum AI employs the principles of quantum computing to deliver more efficient encryption methods and improve the scalability of blockchain networks. By combining advanced cryptographic techniques with third-party oversight and leveraging quantum AI, our approach addresses critical security challenges, significantly contributing to the security posture of cloud computing environments and blockchain technology. This research paves the way for more secure cloud-based services and blockchain networks, fostering greater trust in outsourced data storage systems.