Efficient and Secure Data Sharing in AI-Driven Quantum Network Applications for Business and Medicine
Ganapathy Balaji S., K. Senthilkumar
With cloud computing, users have easy and on-demand access to applications and services, catering to a dynamic group of users whose demographics evolve over time. To facilitate secure data transmission while safeguarding privacy, we propose a scalable and flexible sharing framework tailored for cloud environments, which allows users to communicate data anonymously using group signature and dynamic broadcast encryption techniques. Additionally, the convergence of AI and quantum networks enhances this framework by offering unprecedented capabilities in business and medicine through secure and high-speed data transmission. Advanced cryptographic techniques such as quantum key distribution (QKD) and AI-driven dynamic access control ensure data confidentiality and integrity amidst frequent changes in user groups. Our comprehensive solution seamlessly adapts to varying group sizes, integrating cloud computing, AI, and quantum networks to provide a robust and efficient data-sharing framework for dynamic environments.
Advances in computational intelligence and robotics book series•Dec 19, 2024•0 citations