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Lookup NU author(s): Dr Husnain SheraziORCiD
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© 2019, Springer Science+Business Media, LLC, part of Springer Nature. Heterogeneous devices are connected with each other through wireless links within a cyber physical system. These devices undergo resource constraints such as battery, bandwidth, memory and computing power. Moreover, the massive interconnections of these devices result in network latency and reduced speed. Edge computing offers a solution to this problem in which devices transmit the preprocessed actionable data in a formal way, resulting in reduced data traffic and improved speed. However, to provide the same level of security to each piece of information is not feasible due to limited resources. In addition, not all the data generated by Internet of things devices require a high level of security. Context-awareness principles can be employed to select an optimal algorithm based on device specifications and required information confidentiality level. For context-awareness, it is essential to consider the dynamic requirements of data confidentiality as well as device available resources. This paper presents a context-aware encryption protocol suite that selects optimal encryption algorithm according to device specifications and the level of data confidentiality. The results presented herein clearly exhibit that the devices were able to save 79% memory consumption, 56% battery consumption and 68% execution time by employing the proposed context-aware encryption protocol suite.
Author(s): Dar Z, Ahmad A, Khan FA, Zeshan F, Iqbal R, Sherazi HHR, Bashir AK
Publication type: Article
Publication status: Published
Journal: Journal of Supercomputing
Year: 2020
Volume: 76
Issue: 4
Pages: 2548-2567
Print publication date: 01/04/2020
Online publication date: 14/10/2019
Acceptance date: 02/04/2018
ISSN (print): 0920-8542
ISSN (electronic): 1573-0484
Publisher: Springer Nature
URL: https://doi.org/10.1007/s11227-019-03021-2
DOI: 10.1007/s11227-019-03021-2
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