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AKAIoTs: authenticated key agreement for Internet of Things

Lookup NU author(s): Professor Gui Yun Tian, Dr Bin Gao

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Abstract

© 2018 Springer Science+Business Media, LLC, part of Springer Nature WSNs are one of the important components in the Internet of Things (IoTs), since they enable gathering and transmitting of data to the cloud server via the Internet medium. Designing an efficient secure cryptography scheme for the IoTs is a challenging task, since sensor node is a resource-constrained device. In this paper, an authentication key agreement scheme is proposed to build a secure channel between WSNs and a cloud server in the IoTs. The proposed scheme has two properties: (1) it has a lightweight computation, and (2) it provides various security properties of key agreement. In addition, it is proven to be secure under computation Diffe–Hellman assumption in the random oracle model. AKAIoTs is implemented using Contiki OS and use Z1 emulator to evaluate time overhead and memory usage. Three different curves; “BN-P158”, “SECG-P160” and “NIST-P192” are used. The implementation results verify that, the proposed scheme is computationally efficient and memory usage between 51 and 52% from total memory of ROM, and between 59 and 62% from total memory of RAM for three different security levels. As a result, curve SECG-P160 might be a good choice to supply security for the IoTs devices, since it consumes reasonable time which result in less power consumption than curve NIST-P192 and more secure than curve BN-P158. Compared with existing relevant schemes, the proposed AKAIoTs is efficient in terms of energy consumption. Moreover, two application scenarios are given to show how the proposed scheme can be applied in the IoTs applications.


Publication metadata

Author(s): Saeed MES, Liu Q-Y, Tian G, Gao B, Li F

Publication type: Article

Publication status: Published

Journal: Wireless Networks

Year: 2019

Volume: 25

Issue: 6

Pages: 3081-3101

Print publication date: 01/08/2019

Online publication date: 10/03/2018

Acceptance date: 02/04/2016

ISSN (print): 1022-0038

ISSN (electronic): 1572-8196

Publisher: Springer New York LLC

URL: https://doi.org/10.1007/s11276-018-1704-5

DOI: 10.1007/s11276-018-1704-5


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