Secure and Privacy in Healthcare Data Using Quaternion-based Neural Network Cryptography with the Blockchain Mechanism

Abstract

In the healthcare industry, security and privacy are major concerns. For effective diagnosis the medical practitioners need to access the healthcare data of the patient and similarly, the patient also needs to access the data. Sharing such a sensitive health data needs to be secured and privacy-preserving is ensured. Before uploading and downloading private health data, the data should be secured. To ensure security and privacy-preserving of health data stored in the cloud by implementing the improved Quaternion-based neural network with the blockchain mechanism. Improved Quaternion neural network cryptography is executed for encrypting the shared health data. Encrypted data’s secret key is stored by utilizing blockchain which is converted into blocks and the SHA algorithm is employed for identifying key events in the blocks which are stored in cloud storage. The modified genetic algorithm is used to generate a key which would be used for encryption and decryption. The authorized patient or physician can access the medical data by using the secret key to decrypt and download the medical data. The proposed network is evaluated in terms of time taken and cost and compared with the existing study. The results show that the time taken for the encryption and decryption process and the transaction and execution cost are reduced compared with the existing study.

KEYWORDS:

• Blockchain and cloud environment
• Healthcare data
• Quaternion-based neural network
• Security and privacy

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

P. Suganthi

P Suganthi received her bachelor’s degree in computer science from Anna University Chennai and a master’s degree in computer science and engineering from Anna University Trichy. She is pursuing her PhD in information and communication engineering. Her current research interests are security and privacy in cloud computing.

R. Kavitha

R Kavitha received her BE degree from Madurai Kamaraj University in 1997, ME degree from Anna University, Chennai in 2004, and PhD degree from Anna University in 2014. Her research interests are in resource and mobility management for wireless mesh networks, wireless sensor networks, and heterogeneous wireless networks. Email: [email protected]