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A user-centric privacy-preserving authentication protocol for IoT-AmI environments

Mehedi Masud Orcid Logo, Gurjot Singh Gaba, Pardeep Kumar Orcid Logo, Andrei Gurtov

Computer Communications, Volume: 196, Pages: 45 - 54

Swansea University Author: Pardeep Kumar Orcid Logo

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DOI (Published version): 10.1016/j.comcom.2022.09.021

Abstract

Ambient Intelligence (AmI) in Internet of Things (IoT) has empowered healthcare professionals to monitor, diagnose, and treat patients remotely. Besides, the AmI-IoT has improved patient engagement and gratification as doctors’ interactions have become more comfortable and efficient. However, the be...

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Published in: Computer Communications
ISSN: 0140-3664
Published: Elsevier BV 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa61425
first_indexed 2022-10-25T14:27:02Z
last_indexed 2023-01-13T19:22:10Z
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spelling 2022-10-25T15:29:09.7181908 v2 61425 2022-10-05 A user-centric privacy-preserving authentication protocol for IoT-AmI environments 90a5efa66b9ae87756f5b059eb06ef1e 0000-0001-8124-5509 Pardeep Kumar Pardeep Kumar true false 2022-10-05 MACS Ambient Intelligence (AmI) in Internet of Things (IoT) has empowered healthcare professionals to monitor, diagnose, and treat patients remotely. Besides, the AmI-IoT has improved patient engagement and gratification as doctors’ interactions have become more comfortable and efficient. However, the benefits of the AmI-IoT-based healthcare applications are not availed entirely due to the adversarial threats. IoT networks are prone to cyber attacks due to vulnerable wireless mediums and the absentia of lightweight and robust security protocols. This paper introduces computationally-inexpensive privacy-assuring authentication protocol for AmI-IoT healthcare applications. The use of blockchain & fog computing in the protocol guarantees unforgeability, non-repudiation, transparency, low latency, and efficient bandwidth utilization. The protocol uses physically unclonable functions (PUF), biometrics, and Ethereum powered smart contracts to prevent replay, impersonation, and cloning attacks. Results prove the resource efficiency of the protocol as the smart contract incurs very minimal gas and transaction fees. The Scyther results validate the robustness of the proposed protocol against cyber-attacks. The protocol applies lightweight cryptography primitives (Hash, PUF) instead of conventional public-key cryptography and scalar multiplications. Consequently, the proposed protocol is better than centralized infrastructure-based authentication approaches. Journal Article Computer Communications 196 45 54 Elsevier BV 0140-3664 Ambient intelligence; Blockchain; Fog computing; Healthcare; Internet of Things (IoT) 1 12 2022 2022-12-01 10.1016/j.comcom.2022.09.021 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University The research is supported by Taif University Researchers Supporting Project Number (TURSP-2020/10), Taif University, Taif, Saudi Arabia, CENIIT Project 17.01, and the Excellence Center at Linköping-Lund in IT (ELLIIT) Project A4 . 2022-10-25T15:29:09.7181908 2022-10-05T08:44:00.1480443 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Mehedi Masud 0000-0001-6019-7245 1 Gurjot Singh Gaba 2 Pardeep Kumar 0000-0001-8124-5509 3 Andrei Gurtov 4 61425__25582__142d0e6442dd4b48ac4b84c79cf43181.pdf 61425_VoR.pdf 2022-10-25T15:27:56.8190891 Output 2060790 application/pdf Version of Record true © 2022 The Author(s). This is an open access article under the CC BY license true eng http://creativecommons.org/licenses/by/4.0/
title A user-centric privacy-preserving authentication protocol for IoT-AmI environments
spellingShingle A user-centric privacy-preserving authentication protocol for IoT-AmI environments
Pardeep Kumar
title_short A user-centric privacy-preserving authentication protocol for IoT-AmI environments
title_full A user-centric privacy-preserving authentication protocol for IoT-AmI environments
title_fullStr A user-centric privacy-preserving authentication protocol for IoT-AmI environments
title_full_unstemmed A user-centric privacy-preserving authentication protocol for IoT-AmI environments
title_sort A user-centric privacy-preserving authentication protocol for IoT-AmI environments
author_id_str_mv 90a5efa66b9ae87756f5b059eb06ef1e
author_id_fullname_str_mv 90a5efa66b9ae87756f5b059eb06ef1e_***_Pardeep Kumar
author Pardeep Kumar
author2 Mehedi Masud
Gurjot Singh Gaba
Pardeep Kumar
Andrei Gurtov
format Journal article
container_title Computer Communications
container_volume 196
container_start_page 45
publishDate 2022
institution Swansea University
issn 0140-3664
doi_str_mv 10.1016/j.comcom.2022.09.021
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
description Ambient Intelligence (AmI) in Internet of Things (IoT) has empowered healthcare professionals to monitor, diagnose, and treat patients remotely. Besides, the AmI-IoT has improved patient engagement and gratification as doctors’ interactions have become more comfortable and efficient. However, the benefits of the AmI-IoT-based healthcare applications are not availed entirely due to the adversarial threats. IoT networks are prone to cyber attacks due to vulnerable wireless mediums and the absentia of lightweight and robust security protocols. This paper introduces computationally-inexpensive privacy-assuring authentication protocol for AmI-IoT healthcare applications. The use of blockchain & fog computing in the protocol guarantees unforgeability, non-repudiation, transparency, low latency, and efficient bandwidth utilization. The protocol uses physically unclonable functions (PUF), biometrics, and Ethereum powered smart contracts to prevent replay, impersonation, and cloning attacks. Results prove the resource efficiency of the protocol as the smart contract incurs very minimal gas and transaction fees. The Scyther results validate the robustness of the proposed protocol against cyber-attacks. The protocol applies lightweight cryptography primitives (Hash, PUF) instead of conventional public-key cryptography and scalar multiplications. Consequently, the proposed protocol is better than centralized infrastructure-based authentication approaches.
published_date 2022-12-01T08:10:44Z
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score 11.151597

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