Safeguarding Healthcare Data Privacy in the Cloud using Modified Fuzzy Particle Swarm Optimization and Two Fish Encryption Algorithm (KEY IJP************842)

• Suresh Kumar Maddila,Nagalakshmi Vadlamani

Abstract

In the healthcare field, merging different sets of data is crucial for the future. Cloud computing offers a way to efficiently handle this diverse data. Cloud computing has made it easier for people to access services and resources, but it also means we need better security to deal with new threats. This paper proposes a novel method for securing data stored in the cloud. It uses the Two Fish encryption algorithm and the Bald Eagle Pelican Optimization algorithm (BEPO) to create keys for security. To keep medical records safe when they're sent, a new system called Blockchain based Privacy Preserving and Robust Healthcare data (BPPRH) is introduced. It goes through different steps like setting up, registering, encrypting, checking, and decoding. The Twofish along with BEPO key generation method offers strong security procedures such as conditional privacy, time taken for validation, usage of memory, and normalized variance. The system uses a hypervisor and virtual machines (VMs) to protect against different types of attacks. The proposed Modified Fuzzy Particle Swarm Optimization (MFPSO) method helps to detect threats. Another method, Edge Cloud based Collaborative Systems (ECCS), uses advanced techniques to reduce risks, achieving a high accuracy rate of 99.32%. This enhanced system improves the security of healthcare management systems, dealing with problems in traditional smart healthcare systems.