Preserving Patients’ Privacy in Medical IoT Using Blockchain

Bandar Alamri; Ibrahim Tariq Javed; Tiziana Margaria

doi:10.1007/978-3-030-59824-2_9

Preserving Patients’ Privacy in Medical IoT Using Blockchain

Bandar Alamri, Ibrahim Tariq Javed, Tiziana Margaria

University of Limerick

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Medical IoT is a collection of devices and applications that are connected to healthcare systems via the Internet. Wearable devices and body sensors are used to track individuals’ medical conditions. The collected data is processed, analyzed, and stored in the cloud platforms to provide healthcare services. The data does not only include personal information like users’ identity and location but also consists of sensitive information such as mental status, drug addiction, sexual orientation, and genetics. Therefore, preserving an individual’s privacy remains a huge challenge for IoT service providers. The existing techniques significantly reduce the originality of data which affects the application’s efficiency. Therefore, in this paper, we propose the idea of using blockchains and smart contract to preserve privacy while obtaining data usability.

Original language	English
Title of host publication	Edge Computing – EDGE 2020 - 4th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Proceedings
Editors	Ajay Katangur, Shih-Chun Lin, Jinpeng Wei, Shuhui Yang, Liang-Jie Zhang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	103-110
Number of pages	8
ISBN (Print)	9783030598235
DOIs	https://doi.org/10.1007/978-3-030-59824-2_9
Publication status	Published - 2020
Event	4th International Conference on Edge Computing, EDGE 2020, held as part of the Services Conference Federation, SCF 2020 - Honolulu, United States Duration: 18 Sep 2020 → 20 Sep 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12407 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Conference on Edge Computing, EDGE 2020, held as part of the Services Conference Federation, SCF 2020
Country/Territory	United States
City	Honolulu
Period	18/09/20 → 20/09/20

Keywords

Blockchain
Healthcare
IoT
Privacy
Security

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-59824-2_9

Cite this

Alamri, B., Javed, I. T., & Margaria, T. (2020). Preserving Patients’ Privacy in Medical IoT Using Blockchain. In A. Katangur, S.-C. Lin, J. Wei, S. Yang, & L.-J. Zhang (Eds.), Edge Computing – EDGE 2020 - 4th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Proceedings (pp. 103-110). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12407 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-59824-2_9

Alamri, Bandar ; Javed, Ibrahim Tariq ; Margaria, Tiziana. / Preserving Patients’ Privacy in Medical IoT Using Blockchain. Edge Computing – EDGE 2020 - 4th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Proceedings. editor / Ajay Katangur ; Shih-Chun Lin ; Jinpeng Wei ; Shuhui Yang ; Liang-Jie Zhang. Springer Science and Business Media Deutschland GmbH, 2020. pp. 103-110 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{3f3dc45ca4d8431a9f5d2e52c897db4b,

title = "Preserving Patients{\textquoteright} Privacy in Medical IoT Using Blockchain",

abstract = "Medical IoT is a collection of devices and applications that are connected to healthcare systems via the Internet. Wearable devices and body sensors are used to track individuals{\textquoteright} medical conditions. The collected data is processed, analyzed, and stored in the cloud platforms to provide healthcare services. The data does not only include personal information like users{\textquoteright} identity and location but also consists of sensitive information such as mental status, drug addiction, sexual orientation, and genetics. Therefore, preserving an individual{\textquoteright}s privacy remains a huge challenge for IoT service providers. The existing techniques significantly reduce the originality of data which affects the application{\textquoteright}s efficiency. Therefore, in this paper, we propose the idea of using blockchains and smart contract to preserve privacy while obtaining data usability.",

keywords = "Blockchain, Healthcare, IoT, Privacy, Security",

author = "Bandar Alamri and Javed, \{Ibrahim Tariq\} and Tiziana Margaria",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 4th International Conference on Edge Computing, EDGE 2020, held as part of the Services Conference Federation, SCF 2020 ; Conference date: 18-09-2020 Through 20-09-2020",

year = "2020",

doi = "10.1007/978-3-030-59824-2\_9",

language = "English",

isbn = "9783030598235",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "103--110",

editor = "Ajay Katangur and Shih-Chun Lin and Jinpeng Wei and Shuhui Yang and Liang-Jie Zhang",

booktitle = "Edge Computing – EDGE 2020 - 4th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Proceedings",

}

Alamri, B, Javed, IT & Margaria, T 2020, Preserving Patients’ Privacy in Medical IoT Using Blockchain. in A Katangur, S-C Lin, J Wei, S Yang & L-J Zhang (eds), Edge Computing – EDGE 2020 - 4th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12407 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 103-110, 4th International Conference on Edge Computing, EDGE 2020, held as part of the Services Conference Federation, SCF 2020, Honolulu, United States, 18/09/20. https://doi.org/10.1007/978-3-030-59824-2_9

Preserving Patients’ Privacy in Medical IoT Using Blockchain. / Alamri, Bandar; Javed, Ibrahim Tariq; Margaria, Tiziana.
Edge Computing – EDGE 2020 - 4th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Proceedings. ed. / Ajay Katangur; Shih-Chun Lin; Jinpeng Wei; Shuhui Yang; Liang-Jie Zhang. Springer Science and Business Media Deutschland GmbH, 2020. p. 103-110 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12407 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Preserving Patients’ Privacy in Medical IoT Using Blockchain

AU - Alamri, Bandar

AU - Javed, Ibrahim Tariq

AU - Margaria, Tiziana

PY - 2020

Y1 - 2020

N2 - Medical IoT is a collection of devices and applications that are connected to healthcare systems via the Internet. Wearable devices and body sensors are used to track individuals’ medical conditions. The collected data is processed, analyzed, and stored in the cloud platforms to provide healthcare services. The data does not only include personal information like users’ identity and location but also consists of sensitive information such as mental status, drug addiction, sexual orientation, and genetics. Therefore, preserving an individual’s privacy remains a huge challenge for IoT service providers. The existing techniques significantly reduce the originality of data which affects the application’s efficiency. Therefore, in this paper, we propose the idea of using blockchains and smart contract to preserve privacy while obtaining data usability.

AB - Medical IoT is a collection of devices and applications that are connected to healthcare systems via the Internet. Wearable devices and body sensors are used to track individuals’ medical conditions. The collected data is processed, analyzed, and stored in the cloud platforms to provide healthcare services. The data does not only include personal information like users’ identity and location but also consists of sensitive information such as mental status, drug addiction, sexual orientation, and genetics. Therefore, preserving an individual’s privacy remains a huge challenge for IoT service providers. The existing techniques significantly reduce the originality of data which affects the application’s efficiency. Therefore, in this paper, we propose the idea of using blockchains and smart contract to preserve privacy while obtaining data usability.

KW - Blockchain

KW - Healthcare

KW - IoT

KW - Privacy

KW - Security

UR - https://www.scopus.com/pages/publications/85092105809

U2 - 10.1007/978-3-030-59824-2_9

DO - 10.1007/978-3-030-59824-2_9

M3 - Conference contribution

AN - SCOPUS:85092105809

SN - 9783030598235

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 103

EP - 110

BT - Edge Computing – EDGE 2020 - 4th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Proceedings

A2 - Katangur, Ajay

A2 - Lin, Shih-Chun

A2 - Wei, Jinpeng

A2 - Yang, Shuhui

A2 - Zhang, Liang-Jie

PB - Springer Science and Business Media Deutschland GmbH

T2 - 4th International Conference on Edge Computing, EDGE 2020, held as part of the Services Conference Federation, SCF 2020

Y2 - 18 September 2020 through 20 September 2020

ER -

Alamri B, Javed IT, Margaria T. Preserving Patients’ Privacy in Medical IoT Using Blockchain. In Katangur A, Lin SC, Wei J, Yang S, Zhang LJ, editors, Edge Computing – EDGE 2020 - 4th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 103-110. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-59824-2_9

Preserving Patients’ Privacy in Medical IoT Using Blockchain

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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