A hybrid public cryptography based group key generation for sensitive attribute protection in medical health care systems

Cloud computing is an extraordinary innovation for giving information storage facilities with productive storage, maintenance, management, and remote backups. Therefore, a lot of users transferred their data to cloud storage. In this transmission, sensitive data is converted to cloud storage with high-level protection. Current safety methods are treated with high encryption time and are single-key based on the same protection of the entire data. These processes take a high time and leak the full information if the key is hacked. To avoid the problems, this paper proposed efficient group key cryptography-based sensitivity data encryption. The proposed approach consists of three stages namely; sensitive and non-sensitive attribute segregation, group key generation, encryption, and decryption. At first, the sensitive attribute and non-sensitive attributes are segregated using privacy score value (PSV) to minimize the encryption time and cost. After that, the group key generation process is carried out on the Data owner side. For the group key generation process, Rivest–Shamir–Adleman (RSA) and adaptive elliptical curve cryptography (AECC) algorithms are presented. In the proposed key generation process, RSA private key and public key are combined with the AECC private key and public key using an XOR operation. After the key generation process, based on the new key pairs the sensitive attributes are encrypted and decrypted using an AECC encryption and decryption process. The performance of the presented approach is evaluated using different metrics and performance compared with the various existing techniques.