Deep Learning Based Homomorphic Secure Search-Able Encryption for Keyword Search in Blockchain Healthcare System: A Novel Approach to Cryptography.

Aitizaz Ali,Mehedi Masud,Mohammed A Alzain,Muhammad Fermi Pasha,Anca Delia Jurcut,Jehad Ali,Ong Huey Fang

doi:10.3390/s22020528

Abstract

Due to the value and importance of patient health records (PHR), security is the most critical feature of encryption over the Internet. Users that perform keyword searches to gain access to the PHR stored in the database are more susceptible to security risks. Although a blockchain-based healthcare system can guarantee security, present schemes have several flaws. Existing techniques have concentrated exclusively on data storage and have utilized blockchain as a storage database. In this research, we developed a unique deep-learning-based secure search-able blockchain as a distributed database using homomorphic encryption to enable users to securely access data via search. Our suggested study will increasingly include secure key revocation and update policies. An IoT dataset was used in this research to evaluate our suggested access control strategies and compare them to benchmark models. The proposed algorithms are implemented using smart contracts in the hyperledger tool. The suggested strategy is evaluated in comparison to existing ones. Our suggested approach significantly improves security, anonymity, and monitoring of user behavior, resulting in a more efficient blockchain-based IoT system as compared to benchmark models.

Highlights

Introduction published maps and institutional affilA patient health record (PHR) is the basic and important information related to a patient’s history and related details
The proposed model has accomplished about 94.34 percent accuracy and 8.89 loss with the ToN data set, while the Internet of Things (IoT) model obtains 88.38 percent accuracy and 8.92 loss
Our proposed scheme supports immutable, tamper resistant, and delivery secured data, which results in the reduction of security breaches to the healthcare data

Summary

Introduction

Introduction published maps and institutional affilA patient health record (PHR) is the basic and important information related to a patient’s history and related details. The digital healthcare system is considered as the platform for transferring and receiving patient health records. The simplest solution is to integrate the digital healthcare system to blockchain technology due to its wide variety of applications and improved security. Blockchains can be classified into three different categories, namely, private, public, and consortium blockchains [1]. It is a permissioned and consortium managed blockchain, which means all peers are known to each other in the network. This provides trust and security to all the parties involved. Hyperledger fabric is not domain specific, and it supports Java, Go, Node.js, etc., for creating contracts and networks applications [2]

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