Providing a multi-step algorithm based on biometric information and hybrid encryption for secure data storage in cloud computing
摘要
Cloud computing offers scalability and flexibility but still suffers from critical security and privacy challenges. To address these issues, we propose a hybrid cryptographic scheme that integrates DES, RSA, and Blowfish, enhanced with genetic-algorithm-based sub-key generation and biometric-derived keys for user-specific confidentiality. In addition, a neural-network-based steganography technique is applied to conceal keys within image edges, providing an additional layer of protection. Experimental results show improved efficiency (encryption 0.2797 s, decryption 0.2630 s) and strong robustness against statistical and differential attacks (NPCR ~ 99.6%, UACI ~ 30–35%), while maintaining high image quality (PSNR). Overall, the proposed model combines multi-stage cryptography with intelligent steganography to enable secure and efficient data transmission in cloud environments.