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Author:

Abbas, Ghulam (Abbas, Ghulam.) | Tanveer, Muhammad (Tanveer, Muhammad.) | Abbas, Ziaul Haq (Abbas, Ziaul Haq.) | Waqas, Muhammad (Waqas, Muhammad.) | Baker, Thar (Baker, Thar.) | Obe, Dhiya Al-Jumeily (Obe, Dhiya Al-Jumeily.)

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Scopus SCIE

Abstract:

One of the significant challenges in the Internet of Things (IoT) is the provisioning of guaranteed security and privacy, considering the fact that IoT devices are resource-limited. Oftentimes, in IoT applications, remote users need to obtain real-time data, with guaranteed security and privacy, from resource-limited network nodes through the public Internet. For this purpose, the users need to establish a secure link with the network nodes. Though the IPv6 over low-power wireless personal area networks (6LoWPAN) adaptation layer standard offers IPv6 compatibility for resource-limited wireless networks, the fundamental 6LoWPAN structure ignores security and privacy characteristics. Thus, there is a pressing need to design a resource-efficient authenticated key exchange (AKE) scheme for ensuring secure communication in 6LoWPAN-based resource-limited networks. This paper proposes a resource-efficient secure remote user authentication scheme for 6LoWPAN-based IoT networks, called SRUA-IoT. SRUA-IoT achieves the authentication of remote users and enables the users and network entities to establish private session keys between themselves for indecipherable communication. To this end, SRUA-IoT uses a secure hash algorithm, exclusive-OR operation, and symmetric encryption primitive. We prove through informal security analysis that SRUA-IoT is secured against a variety of malicious attacks. We also prove the security strength of SRUA-IoT through formal security analysis conducted by employing the random oracle model. Additionally, we prove through Scyther-based validation that SRUA-IoT is resilient against various attacks. Likewise, we demonstrate that SRUA-IoT reduces the computational cost of the nodes and communication overheads of the network.

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Author Community:

  • [ 1 ] [Abbas, Ghulam]GIK Inst Engn Sci & Technol, Fac Comp Sci & Engn, Topi, Pakistan
  • [ 2 ] [Abbas, Ghulam]GIK Inst Engn Sci & Technol, Telecommun & Networking Res Ctr, Topi, Pakistan
  • [ 3 ] [Tanveer, Muhammad]GIK Inst Engn Sci & Technol, Telecommun & Networking Res Ctr, Topi, Pakistan
  • [ 4 ] [Abbas, Ziaul Haq]GIK Inst Engn Sci & Technol, Fac Elect Engn, Topi, Pakistan
  • [ 5 ] [Waqas, Muhammad]Beijing Univ Technol, Fac Informat Technol, Engn Res Ctr Intelligent Percept & Autonomous Con, Beijing, Peoples R China
  • [ 6 ] [Baker, Thar]Univ Sharjah, Dept Comp Sci, Sharjah, U Arab Emirates
  • [ 7 ] [Obe, Dhiya Al-Jumeily]Liverpool John Moores Univ, Sch Comp Sci & Math, Liverpool, Merseyside, England

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Source :

PLOS ONE

ISSN: 1932-6203

Year: 2021

Issue: 11

Volume: 16

3 . 7 0 0

JCR@2022

ESI Discipline: Multidisciplinary;

ESI HC Threshold:169

JCR Journal Grade:2

Cited Count:

WoS CC Cited Count: 19

SCOPUS Cited Count: 23

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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