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Access control and classifier-based blockchain technology in e-healthcare applications

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dc.citedby4
dc.contributor.authorMaseleno A.en_US
dc.contributor.authorHashim W.en_US
dc.contributor.authorPerumal E.en_US
dc.contributor.authorIlayaraja M.en_US
dc.contributor.authorShankar K.en_US
dc.contributor.authorid55354910900en_US
dc.contributor.authorid11440260100en_US
dc.contributor.authorid57221237224en_US
dc.contributor.authorid55662288300en_US
dc.contributor.authorid56884031900en_US
dc.date.accessioned2023-05-29T08:12:16Z
dc.date.available2023-05-29T08:12:16Z
dc.date.issued2020
dc.description.abstractE-healthcare promises to be the next big wave in the healthcare industry, which makes security the most essential component in this framework. Security in sensor network communication is recommended for providing information secrecy and authentication. Many security algorithms are proposed by numerous creators, and among all the security models, Blockchain Technology (BT) with dispersed ledger provides the highest level of security for e-healthcare systems. To improve the security of the healthcare framework, a learning classifier is the support vector machine that is used to characterize sensitive and nonsensitive data from e-healthcare information. After this procedure comes the BT approach, which is connected to protect sensitive data using various layers of encryption, and decryption processes. When the healthcare data are verified, the access-control process considers the reason for authentication. Finally, the simulation results were attained for assessing the performance of the e-healthcare information security model regarding throughput, energy, and security-level measures. � 2020 Elsevier Inc. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/B978-0-12-819511-6.00008-X
dc.identifier.epage167
dc.identifier.scopus2-s2.0-85096878932
dc.identifier.spage151
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85096878932&doi=10.1016%2fB978-0-12-819511-6.00008-X&partnerID=40&md5=cacad5bcbb2ff5b87e034056654ae9d2
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25651
dc.publisherElsevieren_US
dc.sourceScopus
dc.sourcetitleIntelligent Data Security Solutions for e-Health Applications
dc.titleAccess control and classifier-based blockchain technology in e-healthcare applicationsen_US
dc.typeBook Chapteren_US
dspace.entity.typePublication
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