Literature DB >> 31915982

Design of a Secure Medical Data Sharing Scheme Based on Blockchain.

Xu Cheng1,2, Fulong Chen3,4, Dong Xie1,2, Hui Sun1,2, Cheng Huang1.   

Abstract

With the rapid development of technologies such as artificial intelligence, blockchain, cloud computing, and big data, Medical Cyber Physical Systems (MCPS) are increasingly demanding data security, while cloud storage solves the storage problem of complex medical data. However, it is difficult to realize data security sharing. The decentralization feature of blockchain is helpful to solve the problem that the secure authentication process is highly dependent on the trusted third party and implement data security transmission. In this paper, the blockchain technology is used to describe the security requirements in authentication process, and a network model of MCPS based on blockchain is proposed. Through analysis of medical data storage architecture, it can ensure that data can't be tampered and untrackable. In the security authentication phase, bilinear mapping and intractable problems can be used to solve the security threat in the authentication process of medical data providers and users. It can avoid the credibility problem of the trusted third party, and also can realize the ?thyc=10?>two-way authentication between the hospital and blockchain node. Then, BAN logic is used to analyze security protocols, and formal analysis and comparison of security protocols are also made. The results show that the MCPS based on blockchain not only realizes medical treatment data sharing, but also meet the various security requirements in the security authentication phase. In addition, the storage and computing overhead costs is ideal. Therefore, the proposed scheme is more suitable for secure sharing of medical big data.

Keywords:  Blockchain; Data security sharing; Decentralization feature; Medical cyber physical systems; Security authentication

Year:  2020        PMID: 31915982     DOI: 10.1007/s10916-019-1468-1

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  6 in total

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Authors:  Hongyu Li; Liehuang Zhu; Meng Shen; Feng Gao; Xiaoling Tao; Sheng Liu
Journal:  J Med Syst       Date:  2018-06-28       Impact factor: 4.460

2.  Cryptanalysis and improvement of an improved two factor authentication protocol for telecare medical information systems.

Authors:  Shehzad Ashraf Chaudhry; Husnain Naqvi; Taeshik Shon; Muhammad Sher; Mohammad Sabzinejad Farash
Journal:  J Med Syst       Date:  2015-04-26       Impact factor: 4.460

3.  Design of a Secure Three-Factor Authentication Scheme for Smart Healthcare.

Authors:  Km Renuka; Saru Kumari; Xiong Li
Journal:  J Med Syst       Date:  2019-04-03       Impact factor: 4.460

4.  Cryptanalysis and improvement of authentication and key agreement protocols for telecare medicine information systems.

Authors:  S K Hafizul Islam; Muhammad Khurram Khan
Journal:  J Med Syst       Date:  2014-09-05       Impact factor: 4.460

5.  A secure and efficient authentication and key agreement scheme based on ECC for telecare medicine information systems.

Authors:  Xin Xu; Ping Zhu; Qiaoyan Wen; Zhengping Jin; Hua Zhang; Lian He
Journal:  J Med Syst       Date:  2013-11-21       Impact factor: 4.460

6.  MedBlock: Efficient and Secure Medical Data Sharing Via Blockchain.

Authors:  Kai Fan; Shangyang Wang; Yanhui Ren; Hui Li; Yintang Yang
Journal:  J Med Syst       Date:  2018-06-21       Impact factor: 4.460

  6 in total
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1.  Design of Secure Protocol for Cloud-Assisted Electronic Health Record System Using Blockchain.

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2.  Perceived Security Risk Based on Moderating Factors for Blockchain Technology Applications in Cloud Storage to Achieve Secure Healthcare Systems.

Authors:  Malik Mustafa; Marwan Alshare; Deepshikha Bhargava; Rahul Neware; Balbir Singh; Peter Ngulube
Journal:  Comput Math Methods Med       Date:  2022-01-19       Impact factor: 2.238

3.  Design and validation of a new scale for prehospital evaluation of stroke and large vessel occlusion.

Authors:  Yanqi Shao; Zheyu Zhang; Bo Jin; Jingsi Xu; Deqing Peng; Yu Geng; Jungen Zhang; Sheng Zhang
Journal:  Ther Adv Neurol Disord       Date:  2022-06-30       Impact factor: 6.430

Review 4.  Application of Big Data and Artificial Intelligence in COVID-19 Prevention, Diagnosis, Treatment and Management Decisions in China.

Authors:  Jiancheng Dong; Huiqun Wu; Dong Zhou; Kaixiang Li; Yuanpeng Zhang; Hanzhen Ji; Zhuang Tong; Shuai Lou; Zhangsuo Liu
Journal:  J Med Syst       Date:  2021-07-24       Impact factor: 4.460

  4 in total

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