PRMS: Design and Development of Patients’ E-Healthcare Records Management System for Privacy Preservation in Third Party Cloud Platforms-Reference-Cited by-同舟云学术

PRMS: Design and Development of Patients’ E-Healthcare Records Management System for Privacy Preservation in Third Party Cloud Platforms

Published:2022 Issue: Volume:10 Page:85777-85791
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zala Kirtirajsinh¹^ORCID,Thakkar Hiren Kumar²^ORCID,Jadeja Rajendrasinh³^ORCID,Singh Priyanka⁴,Kotecha Ketan⁵^ORCID,Shukla Madhu¹

Affiliation:

1. Department of Computer Engineering, Marwadi University, Rajkot, Gujarat, India

2. Department of Computer Science and Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India

3. Department of Electrical Engineering, Marwadi University, Rajkot, Gujarat, India

4. Department of Computer Science and Engineering, SRM University—Andhra Pradesh, Amaravati, India

5. Symbiosis Centre for Applied Artificial Intelligence, Symbosis International (Deemed University), Pune, India

Funder

Symbiosis International University, Pune, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09854886.pdf?arnumber=9854886

Reference48 articles.

1. Blockchain and Healthcare: Opportunities and Prospects for the EHR

2. A Lightweight Blockchain-Based IoT Identity Management Approach

3. Data exchanges based on blockchain in m-Health applications

4. Blockchain for consent management in the ehealth environment: A nugget for privacy and security challenges;genestier;J Int Soc Telemedicina eHealth,2017

5. The benefits and threats of blockchain technology in healthcare: A scoping review

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Applications of blockchain technology in privacy preserving and data security for real time (data) applications;Concurrency and Computation: Practice and Experience;2024-09-10

2. Design of an efficient dynamic context‐based privacy policy deployment model via dual bioinspired Q learning optimisations;IET Cyber-Physical Systems: Theory & Applications;2024-06-27

3. Blockchain Security Using Q-Pragmatic-Sensitive Feature Analysis to Preserve Privacy;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26

4. A privacy-preserving deep learning framework for highly authenticated blockchain secure storage system;Multimedia Tools and Applications;2024-04-16

5. Privacy preservation of medical data in blockchain with secret key generation using RideNN;Multimedia Tools and Applications;2024-03-25