Cloud Security and Privacy: Optimization-Based Cryptographic Solutions: Methods, Frameworks, Applications for Secure Data Sharing in Environments

Cloud computing requires robust security mechanisms to protect sensitive information from evolving cyber threats. This book presents advanced hybrid Cryptographic solutions for secure cloud data sharing, integrating nature-inspired optimisation algorithms with modern encryption techniques. It covers an optimised DNA-based encryption framework using the Grey Wolf Optimiser (GWO). By efficiently exploring encryption parameter spaces, GWO identifies optimal configurations that enhance encryption strength, key sensitivity, and resistance to cryptanalytic attacks. A novel cryptographic key-generation approach that combines Binary Cuckoo Optimisation (BCO) with Homomorphic Encryption for secure computation over encrypted data is used. This hybrid framework facilitates the efficient generation of high-strength cryptographic keys, reducing computational overhead and execution time. The proposed framework improves data confidentiality and the security of information exchange in cloud environments and demonstrates the potential of optimisation-driven cryptographic frameworks for secure, privacy-preserving, and trustworthy cloud computing ecosystems.