A Blockchain-Based, Efficient, and Privacy-Preserving Data Exchange System for mHealthcare that Includes Trust Authentication

The mobile healthcare (mHealthcare) paradigm provides promise to enhance the delivery of healthcare services through remote diagnostics and medical data interchange.But problems like unapproved access and data leaks continue.Although there are still problems, attribute-based encryption (ABE) is a useful cryptographic method for protecting data exchange in mHealthcare.To address these problems, this study provides an effective data sharing strategy that also protects privacy.The mHealthcare service users activity has been monitored for malicious analysis in which the authentication of the users is analysed using convolutional reinforcement fuzzy neural network.the trained and classified output gives security analysis based on healthcare data modelling then the network privacy is enhanced.In order to protect user privacy, it hides a portion of the access policy, adds an offline method for generating keys and encrypting data in mHealthcare, and uses blockchain technology to provide decentralized, reliable verification of data access rights.The enhanced security and efficiency of the method are confirmed by security proofs and experimental outcomes.Proposed technique attained detection accuracy 96%, data privacy analysis of 94%, recall of 90%, RMSE of 60% based on mHealthcare dataset analysis.