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Security outage probability analysis of cognitive networks with multiple eavesdroppers for Industrial Internet of Things
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Li, Meiling, Yuan, Hu, Maple, Carsten, Li, Ying and Alluhaibi, Osama (2022) Security outage probability analysis of cognitive networks with multiple eavesdroppers for Industrial Internet of Things. IEEE Transactions on Cognitive Communications and Networking . doi:10.1109/TCCN.2022.3179431 ISSN 2372-2045.
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WRAP-Security-outage-analysis-cognitive-networks-multiple-eavesdroppers-Industrial-Internet-of-Things-2022.pdf - Accepted Version - Requires a PDF viewer. Download (2160Kb) | Preview |
Official URL: https://doi.org/10.1109/TCCN.2022.3179431
Abstract
The Industrial Internet of Things (IIoT) has been recognised as having the potential to benefit a range of industrial sectors substantially. However, widespread development and deployment of IIoT systems are limited for some reasons, the most significant of which are a shortage of spectrum resources and network security issues. Given the heterogeneity of IIoT devices, typical cryptographic security techniques are insufficient since they can suffer from challenges including computation, storage, latency, and interoperability. This paper presents a physical layer security analysis of the underlying cognitive radio networks for IIoT. Through consideration of the spectrum, IIoT devices can opportunistically utilise the primary spectrum, thereby improving spectrum efficiency and allowing access by an increased number of devices. Specifically, we propose two cognitive relay transmission (CRT) schemes, optimal single CRT (O-SCRT) and multiple CRT (MCRT), to improve transmission reliability further. Since it is challenging to obtain channel state information in the wiretap link, we provide a sub-optimal single CRT scheme and derive closed-form expressions of security outage probability by invoking both selection combination and maximal ratio combination techniques at the eavesdropper. To provide a benchmark, the round-robin single CRT scheme is also analysed. Simulation results are provided to verify our analysis and show that O-SCRT provides the best system security outage performance.
Item Type: | Journal Article | ||||||||||||||||||||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||||||||||||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||||||||||||||||||
Library of Congress Subject Headings (LCSH): | Internet of things -- Security measures, Cognitive radio networks -- Mathematical models, Eavesdropping | ||||||||||||||||||||||||
Journal or Publication Title: | IEEE Transactions on Cognitive Communications and Networking | ||||||||||||||||||||||||
Publisher: | IEEE | ||||||||||||||||||||||||
ISSN: | 2372-2045 | ||||||||||||||||||||||||
Official Date: | 3 June 2022 | ||||||||||||||||||||||||
Dates: |
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DOI: | 10.1109/TCCN.2022.3179431 | ||||||||||||||||||||||||
Status: | Peer Reviewed | ||||||||||||||||||||||||
Publication Status: | Published | ||||||||||||||||||||||||
Reuse Statement (publisher, data, author rights): | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||||||||||||||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||||||||||||||||||
Date of first compliant deposit: | 27 May 2022 | ||||||||||||||||||||||||
Date of first compliant Open Access: | 27 May 2022 | ||||||||||||||||||||||||
RIOXX Funder/Project Grant: |
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