Secured smart healthcare system: Blockchain and bayesian inference based approach

Fahiba Farhin; M. Shamim Kaiser; Mufti Mahmud

doi:10.1007/978-981-33-4673-4_36

Secured smart healthcare system: Blockchain and bayesian inference based approach

Fahiba Farhin^*
, M. Shamim Kaiser
, Mufti Mahmud

^*Corresponding author for this work

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

56 Scopus citations

Abstract

The Internet of Healthcare Things (IoHT) is a rising smart ubiquitous structure that interconnects shrewd gadgets, devices, stakeholders (e.g., specialists, patients, caregivers, researcher, and so on.), and infrastructure utilizing smart sensors. Over the past decade, exposure to modern devices and data sensing and analysis strategies has allowed numerous analysts to develop and deliver personalized IoHT services. This brought about an impressive number of examination results tending to the applications, difficulties, and likely arrangements focusing on secured communication inside the IoHT system. Despite sizable efforts devoted to it, secured service provisioning is a first-rate mission yet. This research aims at providing a multi-layer security framework for heterogeneous IoHT systems using bayesian inference based trust management with the digitally signed blockchain network that includes individual node and data protection. The simulation results reveal the feasibility and effectiveness of the proposed dynamic approach regarding malicious node detection.

Original language	English
Title of host publication	Proceedings of International Conference on Trends in Computational and Cognitive Engineering - Proceedings of TCCE 2020
Editors	M. Shamim Kaiser, Anirban Bandyopadhyay, Mufti Mahmud, Kanad Ray
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	455-465
Number of pages	11
ISBN (Print)	9789813346727
DOIs	https://doi.org/10.1007/978-981-33-4673-4_36
State	Published - 2021
Externally published	Yes
Event	2nd International Conference on Trends in Computational and Cognitive Engineering, TCCE 2020 - Savar, Bangladesh Duration: 17 Dec 2020 → 18 Dec 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1309
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	2nd International Conference on Trends in Computational and Cognitive Engineering, TCCE 2020
Country/Territory	Bangladesh
City	Savar
Period	17/12/20 → 18/12/20

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

5G network
Bayesian inference
Blockchain
Data analytics
Internet of Healthcare Things (IoHT)
Trust management

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-981-33-4673-4_36

Cite this

Farhin, F., Kaiser, M. S., & Mahmud, M. (2021). Secured smart healthcare system: Blockchain and bayesian inference based approach. In M. S. Kaiser, A. Bandyopadhyay, M. Mahmud, & K. Ray (Eds.), Proceedings of International Conference on Trends in Computational and Cognitive Engineering - Proceedings of TCCE 2020 (pp. 455-465). (Advances in Intelligent Systems and Computing; Vol. 1309). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-33-4673-4_36

Farhin, Fahiba ; Kaiser, M. Shamim ; Mahmud, Mufti. / Secured smart healthcare system : Blockchain and bayesian inference based approach. Proceedings of International Conference on Trends in Computational and Cognitive Engineering - Proceedings of TCCE 2020. editor / M. Shamim Kaiser ; Anirban Bandyopadhyay ; Mufti Mahmud ; Kanad Ray. Springer Science and Business Media Deutschland GmbH, 2021. pp. 455-465 (Advances in Intelligent Systems and Computing).

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abstract = "The Internet of Healthcare Things (IoHT) is a rising smart ubiquitous structure that interconnects shrewd gadgets, devices, stakeholders (e.g., specialists, patients, caregivers, researcher, and so on.), and infrastructure utilizing smart sensors. Over the past decade, exposure to modern devices and data sensing and analysis strategies has allowed numerous analysts to develop and deliver personalized IoHT services. This brought about an impressive number of examination results tending to the applications, difficulties, and likely arrangements focusing on secured communication inside the IoHT system. Despite sizable efforts devoted to it, secured service provisioning is a first-rate mission yet. This research aims at providing a multi-layer security framework for heterogeneous IoHT systems using bayesian inference based trust management with the digitally signed blockchain network that includes individual node and data protection. The simulation results reveal the feasibility and effectiveness of the proposed dynamic approach regarding malicious node detection.",

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Farhin, F, Kaiser, MS & Mahmud, M 2021, Secured smart healthcare system: Blockchain and bayesian inference based approach. in MS Kaiser, A Bandyopadhyay, M Mahmud & K Ray (eds), Proceedings of International Conference on Trends in Computational and Cognitive Engineering - Proceedings of TCCE 2020. Advances in Intelligent Systems and Computing, vol. 1309, Springer Science and Business Media Deutschland GmbH, pp. 455-465, 2nd International Conference on Trends in Computational and Cognitive Engineering, TCCE 2020, Savar, Bangladesh, 17/12/20. https://doi.org/10.1007/978-981-33-4673-4_36

Secured smart healthcare system: Blockchain and bayesian inference based approach. / Farhin, Fahiba; Kaiser, M. Shamim; Mahmud, Mufti.
Proceedings of International Conference on Trends in Computational and Cognitive Engineering - Proceedings of TCCE 2020. ed. / M. Shamim Kaiser; Anirban Bandyopadhyay; Mufti Mahmud; Kanad Ray. Springer Science and Business Media Deutschland GmbH, 2021. p. 455-465 (Advances in Intelligent Systems and Computing; Vol. 1309).

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

TY - GEN

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T2 - 2nd International Conference on Trends in Computational and Cognitive Engineering, TCCE 2020

AU - Farhin, Fahiba

AU - Kaiser, M. Shamim

AU - Mahmud, Mufti

PY - 2021

Y1 - 2021

N2 - The Internet of Healthcare Things (IoHT) is a rising smart ubiquitous structure that interconnects shrewd gadgets, devices, stakeholders (e.g., specialists, patients, caregivers, researcher, and so on.), and infrastructure utilizing smart sensors. Over the past decade, exposure to modern devices and data sensing and analysis strategies has allowed numerous analysts to develop and deliver personalized IoHT services. This brought about an impressive number of examination results tending to the applications, difficulties, and likely arrangements focusing on secured communication inside the IoHT system. Despite sizable efforts devoted to it, secured service provisioning is a first-rate mission yet. This research aims at providing a multi-layer security framework for heterogeneous IoHT systems using bayesian inference based trust management with the digitally signed blockchain network that includes individual node and data protection. The simulation results reveal the feasibility and effectiveness of the proposed dynamic approach regarding malicious node detection.

AB - The Internet of Healthcare Things (IoHT) is a rising smart ubiquitous structure that interconnects shrewd gadgets, devices, stakeholders (e.g., specialists, patients, caregivers, researcher, and so on.), and infrastructure utilizing smart sensors. Over the past decade, exposure to modern devices and data sensing and analysis strategies has allowed numerous analysts to develop and deliver personalized IoHT services. This brought about an impressive number of examination results tending to the applications, difficulties, and likely arrangements focusing on secured communication inside the IoHT system. Despite sizable efforts devoted to it, secured service provisioning is a first-rate mission yet. This research aims at providing a multi-layer security framework for heterogeneous IoHT systems using bayesian inference based trust management with the digitally signed blockchain network that includes individual node and data protection. The simulation results reveal the feasibility and effectiveness of the proposed dynamic approach regarding malicious node detection.

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A2 - Kaiser, M. Shamim

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A2 - Ray, Kanad

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ER -

Farhin F, Kaiser MS, Mahmud M. Secured smart healthcare system: Blockchain and bayesian inference based approach. In Kaiser MS, Bandyopadhyay A, Mahmud M, Ray K, editors, Proceedings of International Conference on Trends in Computational and Cognitive Engineering - Proceedings of TCCE 2020. Springer Science and Business Media Deutschland GmbH. 2021. p. 455-465. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-981-33-4673-4_36

Secured smart healthcare system: Blockchain and bayesian inference based approach

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this