Secured PHR's in cloud using Proposed Attribute based Encryption with Keyword Search and Re-encryption Key Management and Distribution

PHR's main objective is to give a thorough and accurate online summary of a person's medical history. Modern patients are finding that using a cloud-based PHR, which allows them to keep and exchange their medical information with doctors more freely, is becoming more and more popular as cloud computing technology advances. However, untrustworthy cloud service providers and unauthorized users pose a risk to the secrecy of CB-PHR privacy. Variations in permissions for access and device resource limitations may also impose restrictions on physicians and patients. To address these challenges, this paper intends to propose a novel secure PHR system to protect patients’ information from third parties. The gathered patients’ information needs to be securely encrypted by IAEKS. In the IAEKS approach, the fusion key is created using the public key and master key to encrypt the data. Further, the encrypted data is stored in the cloud environment, ensuring confidentiality and integrity. When the user requests to access the data from the cloud, the proxy re-encrypts the data. The proxy creates the necessary decryption settings in order to decode the secured data. The SRS verifies whether the user is authenticated or not and then provides the decryption parameters to authenticated users. Notably, the proposed model enhances security by utilizing the proxy to re-encrypt the fusion key using the modified hybrid chaotic map. The hybrid chaotic map combines PLCM and MQM. The innovative use of IAEKS not only ensures robust protection of patient information but also enhances the performance of the encryption and decryption processes. Furthermore, the IAEKS model was contrasted with state-of-the-art techniques like ECC and RSA, along with traditional encryption techniques such as Blowfish, Elgamal, AES, and DES. The IAEKS method demonstrated the lowest CCA value of 0.135, outperforming conventional schemes such as ECC (0.994), RSA (0.193), Blowfish (0.186), Elgamal (0.987), AES (0.175), DES (0.238), IPFS (0.202) and ISH256 (0.562). This highlights that the proposed approach not only improves effectiveness but also bolsters the security of PHR data within a cloud-based framework. Thus, the patient’s information is securely stored and transmitted to the authenticated users.