Access control and classifier-based blockchain technology in e-healthcare applications
E-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 numero...
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my.uniten.dspace-256512023-05-29T16:12:16Z Access control and classifier-based blockchain technology in e-healthcare applications Maseleno A. Hashim W. Perumal E. Ilayaraja M. Shankar K. 55354910900 11440260100 57221237224 55662288300 56884031900 E-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. Final 2023-05-29T08:12:16Z 2023-05-29T08:12:16Z 2020 Book Chapter 10.1016/B978-0-12-819511-6.00008-X 2-s2.0-85096878932 https://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 https://irepository.uniten.edu.my/handle/123456789/25651 151 167 Elsevier Scopus |
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E-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. |
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55354910900 |
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55354910900 Maseleno A. Hashim W. Perumal E. Ilayaraja M. Shankar K. |
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Book Chapter |
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Maseleno A. Hashim W. Perumal E. Ilayaraja M. Shankar K. |
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Maseleno A. Hashim W. Perumal E. Ilayaraja M. Shankar K. Access control and classifier-based blockchain technology in e-healthcare applications |
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Maseleno A. |
title |
Access control and classifier-based blockchain technology in e-healthcare applications |
title_short |
Access control and classifier-based blockchain technology in e-healthcare applications |
title_full |
Access control and classifier-based blockchain technology in e-healthcare applications |
title_fullStr |
Access control and classifier-based blockchain technology in e-healthcare applications |
title_full_unstemmed |
Access control and classifier-based blockchain technology in e-healthcare applications |
title_sort |
access control and classifier-based blockchain technology in e-healthcare applications |
publisher |
Elsevier |
publishDate |
2023 |
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1806428439219011584 |
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13.222552 |