Security and Privacy of Patient Information in Medical Systems Based on Blockchain Technology

Hongjiao Wu; Ashutosh Dhar Dwivedi; Gautam Srivastava

doi:10.1145/3408321

Security and Privacy of Patient Information in Medical Systems Based on Blockchain Technology

Hongjiao Wu
, Ashutosh Dhar Dwivedi
, Gautam Srivastava^*

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

80 Citations (Scopus)

Abstract

The essence of "blockchain"is a shared database in which information stored is un-falsifiable, traceable, open, and transparent. Therefore, to improve the security of private information in medical systems, this article uses blockchain technology to design a method to protect private information in medical systems and effectively realize anti-theft control of private information. First, the Patient-oriented Privacy Preserving Access Control model is introduced into the access control process of private information in medical systems. Next, a private information storage platform is built by using blockchain technology, and information transmission is realized using standard cryptographic algorithms. In this process, file authorization contracts are also used to guarantee the security of private information and further prevent theft of medical private information. Our simulation results show that the storage response time of this method is kept below 1,000 ms, and the maximum information throughput rate reaches 550 kbit/s, which indicates that this method has strong performance in information storage and transmission efficiency. Moreover, the reliability and bandwidth utilization of data transmission across domains is higher, so the method has higher information security control performance and superior overall performance.

Original language	English
Article number	60
Journal	ACM Transactions on Multimedia Computing, Communications and Applications
Volume	17
Issue number	2s
ISSN	1551-6857
DOIs	https://doi.org/10.1145/3408321
Publication status	Published - Jun 2021
Externally published	Yes

Bibliographical note

Funding Information:
The work of Ashutosh Dhar Dwivedi is funded by a grant from the Independent Research Fund Denmark for Technology and Production, Grant No. 8022-00348A and the work of Gautam Srivastava is funded by Natural Sciences and Engineering Council of Canada (NSERC) Discovery Grant held by Gautam Srivastava (Grant No. RGPIN-2020-05363). Authors’ addresses: H. Wu, Henan Vocational College of Tuina No.10, Xuefu Street, Luoyang, China 471000; email: [email protected]; A. D. Dwivedi, DTU Compute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark; email: [email protected]; G. Srivastava (corresponding author), Department of Mathematics and Computer Science, Brandon University, Brandon, MB R7A 6A9, Canada Research Centre for Interneural Computing, China Medical University, Taichung 40402, Taiwan; email: [email protected]. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]. © 2021 Association for Computing Machinery. 1551-6857/2021/06-ART60 $15.00 https://doi.org/10.1145/3408321

Publisher Copyright:
© 2021 Association for Computing Machinery.

Keywords

Anti-theft
Asymmetric encryption
Blockchain
Cloud database
Medical system
Privacy information

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10.1145/3408321

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Cite this

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title = "Security and Privacy of Patient Information in Medical Systems Based on Blockchain Technology",

abstract = "The essence of {"}blockchain{"}is a shared database in which information stored is un-falsifiable, traceable, open, and transparent. Therefore, to improve the security of private information in medical systems, this article uses blockchain technology to design a method to protect private information in medical systems and effectively realize anti-theft control of private information. First, the Patient-oriented Privacy Preserving Access Control model is introduced into the access control process of private information in medical systems. Next, a private information storage platform is built by using blockchain technology, and information transmission is realized using standard cryptographic algorithms. In this process, file authorization contracts are also used to guarantee the security of private information and further prevent theft of medical private information. Our simulation results show that the storage response time of this method is kept below 1,000 ms, and the maximum information throughput rate reaches 550 kbit/s, which indicates that this method has strong performance in information storage and transmission efficiency. Moreover, the reliability and bandwidth utilization of data transmission across domains is higher, so the method has higher information security control performance and superior overall performance.",

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note = "Funding Information: The work of Ashutosh Dhar Dwivedi is funded by a grant from the Independent Research Fund Denmark for Technology and Production, Grant No. 8022-00348A and the work of Gautam Srivastava is funded by Natural Sciences and Engineering Council of Canada (NSERC) Discovery Grant held by Gautam Srivastava (Grant No. RGPIN-2020-05363). Authors{\textquoteright} addresses: H. Wu, Henan Vocational College of Tuina No.10, Xuefu Street, Luoyang, China 471000; email: [email protected]; A. D. Dwivedi, DTU Compute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark; email: [email protected]; G. Srivastava (corresponding author), Department of Mathematics and Computer Science, Brandon University, Brandon, MB R7A 6A9, Canada Research Centre for Interneural Computing, China Medical University, Taichung 40402, Taiwan; email: [email protected]. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]. {\textcopyright} 2021 Association for Computing Machinery. 1551-6857/2021/06-ART60 \$15.00 https://doi.org/10.1145/3408321 Publisher Copyright: {\textcopyright} 2021 Association for Computing Machinery.",

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language = "English",

volume = "17",

journal = "ACM Transactions on Multimedia Computing, Communications and Applications",

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AU - Wu, Hongjiao

AU - Dwivedi, Ashutosh Dhar

AU - Srivastava, Gautam

N1 - Funding Information: The work of Ashutosh Dhar Dwivedi is funded by a grant from the Independent Research Fund Denmark for Technology and Production, Grant No. 8022-00348A and the work of Gautam Srivastava is funded by Natural Sciences and Engineering Council of Canada (NSERC) Discovery Grant held by Gautam Srivastava (Grant No. RGPIN-2020-05363). Authors’ addresses: H. Wu, Henan Vocational College of Tuina No.10, Xuefu Street, Luoyang, China 471000; email: [email protected]; A. D. Dwivedi, DTU Compute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark; email: [email protected]; G. Srivastava (corresponding author), Department of Mathematics and Computer Science, Brandon University, Brandon, MB R7A 6A9, Canada Research Centre for Interneural Computing, China Medical University, Taichung 40402, Taiwan; email: [email protected]. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]. © 2021 Association for Computing Machinery. 1551-6857/2021/06-ART60 $15.00 https://doi.org/10.1145/3408321 Publisher Copyright: © 2021 Association for Computing Machinery.

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N2 - The essence of "blockchain"is a shared database in which information stored is un-falsifiable, traceable, open, and transparent. Therefore, to improve the security of private information in medical systems, this article uses blockchain technology to design a method to protect private information in medical systems and effectively realize anti-theft control of private information. First, the Patient-oriented Privacy Preserving Access Control model is introduced into the access control process of private information in medical systems. Next, a private information storage platform is built by using blockchain technology, and information transmission is realized using standard cryptographic algorithms. In this process, file authorization contracts are also used to guarantee the security of private information and further prevent theft of medical private information. Our simulation results show that the storage response time of this method is kept below 1,000 ms, and the maximum information throughput rate reaches 550 kbit/s, which indicates that this method has strong performance in information storage and transmission efficiency. Moreover, the reliability and bandwidth utilization of data transmission across domains is higher, so the method has higher information security control performance and superior overall performance.

AB - The essence of "blockchain"is a shared database in which information stored is un-falsifiable, traceable, open, and transparent. Therefore, to improve the security of private information in medical systems, this article uses blockchain technology to design a method to protect private information in medical systems and effectively realize anti-theft control of private information. First, the Patient-oriented Privacy Preserving Access Control model is introduced into the access control process of private information in medical systems. Next, a private information storage platform is built by using blockchain technology, and information transmission is realized using standard cryptographic algorithms. In this process, file authorization contracts are also used to guarantee the security of private information and further prevent theft of medical private information. Our simulation results show that the storage response time of this method is kept below 1,000 ms, and the maximum information throughput rate reaches 550 kbit/s, which indicates that this method has strong performance in information storage and transmission efficiency. Moreover, the reliability and bandwidth utilization of data transmission across domains is higher, so the method has higher information security control performance and superior overall performance.

KW - Anti-theft

KW - Asymmetric encryption

KW - Blockchain

KW - Cloud database

KW - Medical system

KW - Privacy information

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DO - 10.1145/3408321

M3 - Journal article

AN - SCOPUS:85108504070

SN - 1551-6857

VL - 17

JO - ACM Transactions on Multimedia Computing, Communications and Applications

JF - ACM Transactions on Multimedia Computing, Communications and Applications

IS - 2s

M1 - 60

ER -

Security and Privacy of Patient Information in Medical Systems Based on Blockchain Technology

Abstract

Bibliographical note

Keywords

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