Seamless key agreement framework for mobile-sink in IoT based cloud-centric secured public safety sensor networks

Al-Turjman, Fadi, Ever, Yoney Kirsal, Ever, Enver, Nguyen, Huan X. ORCID: https://orcid.org/0000-0002-4105-2558 and Deebak Bakkiam, David (2017) Seamless key agreement framework for mobile-sink in IoT based cloud-centric secured public safety sensor networks. IEEE Access, 5 . pp. 24617-24631. ISSN 2169-3536 [Article] (doi:10.1109/ACCESS.2017.2766090)

[img]
Preview
PDF - Published version (with publisher's formatting)
Download (10MB) | Preview

Abstract

Recently, the Internet of Things (IoT) has emerged as a significant advancement for Internet and mobile networks with various public safety network applications. An important use of IoT-based solutions is its application in post-disaster management, where the traditional telecommunication systems may be either completely or partially damaged. Since enabling technologies have restricted authentication privileges for mobile users, in this paper, a strategy of mobile-sink is introduced for the extension of user authentication over cloud-based environments. A seamless secure authentication and key agreement (S-SAKA) approach using bilinear pairing and elliptic-curve cryptosystems is presented. It is shown that the proposed S-SAKA approach satisfies the security properties, and as well as being resilient to nodecapture attacks, it also resists significant numbers of other well-known potential attacks related with data confidentiality, mutual authentication, session-key agreement, user anonymity, password guessing, and key impersonation. Moreover, the proposed approach can provide a seamless connectivity through authentication over wireless sensor networks to alleviate the computation and communication cost constraints in the system. In addition, using Burrows–Abadi–Needham logic, it is demonstrated that the proposed S-SAKA framework offers proper mutual authentication and session key agreement between the mobile-sink and the base station

Item Type: Article
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 23640
Notes on copyright: © 2017 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission.See http://www.ieee.org/publications_standards/publications/rights/index.html for more information
Useful Links:
Depositing User: Huan Nguyen
Date Deposited: 26 Feb 2018 11:00
Last Modified: 09 Jun 2021 14:02
URI: https://eprints.mdx.ac.uk/id/eprint/23640

Actions (login required)

View Item View Item

Statistics

Downloads
Activity Overview
192Downloads
308Hits

Additional statistics are available via IRStats2.