EMR sharing system with lightweight searchable encryption and rights management

Author:

Luo HaoTian1,Mei Niansong2,Du Chong2

Affiliation:

1. University of Chinese Academy of Sciences

2. Chinese Academy of Sciences

Abstract

Abstract The blockchain-based Electronic Medical Record (EMR) data storage system encounters challenges such as data leakage, insufficient access control, and low retrieval efficiency. In response to these issues, this paper proposes a lightweight searchable encryption and access control system for shared EMR data. The searchable encryption scheme is constructed using BGG13 + and MP12. The lightweight design is achieved by integrating the trapdoor verification phase with the keyword retrieval phase. User access control is implemented through a Boolean circuit. Simulations and experiments demonstrate that the system presented in this paper surpasses related studies. In addition, this paper adopts the Bloom filter as the system index to enhance the efficiency of block-chain data retrieval. Experimental results indicate that the index structure can boost data retrieval speed by 30%-50%.

Publisher

Research Square Platform LLC

Reference18 articles.

1. Akinyele, J.A., Pagano, M.W., Green, M.D., Lehmann, C.U., Peterson, Z.N.J., Rubin, A.D.: Securing electronic medical records using attribute-based encryption on mobile devices. In: Proceedings of the 1st ACM workshop on Security and privacy in smartphones and mobile devices. pp. 75–86. Association for Computing Machinery, New York, NY, USA (2011)

2. A Secure EMR Sharing System With Tamper Resistance and Expressive Access Control;Xu S;IEEE Trans. Dependable Secur. Comput.,2023

3. Does medical malpractice law improve health care quality?;Frakes M;J. Public. Econ.,2016

4. Nakamoto, S.: Bitcoin: A Peer-to-Peer Electronic Cash System

5. LSP: Lightweight Smart-Contract-Based Transaction Prioritization Scheme for Smart Healthcare;Saini A;IEEE Internet of Things Journal,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3