Security-driven data analytics for secure patient monitoring in healthcare application using secure hash algorithm (256)

This work concentrates on applying a security-driven methodology utilizing the Secure Hash Algorithm – 256 (SHA – 256) to improve healthcare data analytics for safe patient monitoring. Materials and Methods: Two different groups have contributed to this project. Group 1 refers to associated with Long Short-term Memory, displaying one level of performance. Group 2 refers to the Secure Hash Algorithm – 256, demonstrating another degree of performance. Result: The healthcare system employs a hybrid cryptography system that includes Paillier and Elgamal to offer high security, scalability, reduced risk of insider attacks, and improved patient privacy with an accuracy rate of 81%. Conclusion: In order to improve patient privacy, mitigate insider threats, and secure wireless medical sensor networks, the proposed healthcare system combines distributed data storage with Elgamal and Paillier cryptosystems.