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

Al-Turjman, Fadi and Ever, Yoney Kirsal and Ever, Enver and Nguyen, Huan X. 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

[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: 08 Sep 2018 16:48
URI: http://eprints.mdx.ac.uk/id/eprint/23640

Actions (login required)

Edit Item Edit Item

Full text downloads (NB count will be zero if no full text documents are attached to the record)

Downloads per month over the past year