Federated-Learning Based Privacy Preservation and Fraud-Enabled Blockchain IoMT System for Healthcare

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Federated-Learning Based Privacy Preservation and Fraud-Enabled Blockchain IoMT System for Healthcare

Year of publication

2022

Authors

Lakhan, Abdullah; Mohammed, Mazin Abed; Nedoma, Jan; Martinek, Radek; Tiwari, Prayag; Vidyarthi, Ankit; Alkhayyat, Ahmed; Wang, Weiyu

Organizations and authors

Aalto University

Tiwari Prayag

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal

IEEE Journal of Biomedical and Health Informatics

Publisher

IEEE

Volume

27

Issue

2

Pages

664-672

ISSN

2168-2194

​Publication forum

80153

​Publication forum level

2

Open access

Open access in the publisher’s service

No

Self-archived

Yes

Other information

Fields of science

Computer and information sciences

Keywords

Blockchain; federated learning; Fraud-Analysis; Healthcare; internet of things; IoMT; Medical services; Privacy preservation; security

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.1109/JBHI.2022.3165945

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes
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