VFHE-DWOA: A Cloud-Based Secure Medical Data Storage and Transmission Model

As the need for Cloud Computing (CC) increases, security becomes more crucial for people as well as organizations, particularly in the medical sector. The secure storage and distribution of healthcare data have emerged as a significant concern due to their escalating use in the treatment and diagnosis of multiple diseases. Medical images include patients’ personal data, and any unauthorized access to or alteration of these images might result in significant consequences. This research proposes a cloud-based security model using the Verifiable Fully Homomorphic Encryption (VFHE) with the Differential Whale Optimization Algorithm (DWOA) technique for secure medical image storage and transmission. The VFHE technique is applied to encrypt the medical images before storing them in the cloud. The DWOA algorithm is utilized to optimize the key generation process for improved efficiency and security. The encrypted images are uploaded to the cloud database, where the cloud storage enables remote access for legal users with security. The legal users are allowed to have access to the cloud storage through an internet portal. When a legal user requests access, the encrypted images are retrieved from the cloud. Using the VFHE-DWOA method, the encrypted image is decrypted back to its original form for further use. The results show that the VFHE-DWOA model achieves efficient encryption, decryption, and key generation time. The image quality assessment highlights superior performance, with the model achieving the lowest Mean Squared Error (MSE) of 0.214, the highest Peak Signal-to-Noise Ratio (PSNR) of 64.35 dB, and Structural Similarity Index Measure (SSIM) of 99.91% and Correlation Coefficient (CC) of 99.93%, ensuring minimal distortion and high image fidelity post-decryption. The VFHE-DWOA model outperformed the current models and demonstrated itself as a secure cloud-based medical image storage and transmission model.