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Security Outage Probability Analysis of Cognitive Networks With Multiple Eavesdroppers for Industrial Internet of Things
IEEE Transactions on Cognitive Communications and Networking ( IF 8.6 ) Pub Date : 2022-06-03 , DOI: 10.1109/tccn.2022.3179431
Meiling Li 1 , Hu Yuan 2 , Carsten Maple 2 , Ying Li 1 , Osama Alluhaibi 3
Affiliation  

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 analyzed. Simulation results are provided to verify our analysis and show that O-SCRT provides the best system security outage performance.

中文翻译:

工业物联网多窃听者认知网络安全中断概率分析

工业物联网 (IIoT) 已被公认为具有使一系列工业部门受益的潜力。然而,由于某些原因,工业物联网系统的广泛开发和部署受到限制,其中最重要的是频谱资源短缺和网络安全问题。鉴于 IIoT 设备的异构性,典型的加密安全技术是不够的,因为它们可能会面临计算、存储、延迟和互操作性等挑战。本文介绍了 IIoT 的底层认知无线电网络的物理层安全分析。通过考虑频谱,工业物联网设备可以机会性地利用主要频谱,从而提高频谱效率并允许更多设备访问。具体来说,我们提出了两种认知中继传输 (CRT) 方案,最优单 CRT (O-SCRT) 和多 CRT (MCRT),以进一步提高传输可靠性。由于在窃听链路中获取信道状态信息具有挑战性,我们提供了一种次优的单 CRT 方案,并通过在窃听者处调用选择组合和最大比率组合技术来推导安全中断概率的封闭式表达式。为了提供基准,还分析了循环单 CRT 方案。提供了仿真结果来验证我们的分析,并表明 O-SCRT 提供了最佳的系统安全中断性能。由于在窃听链路中获取信道状态信息具有挑战性,我们提供了一种次优的单 CRT 方案,并通过在窃听者处调用选择组合和最大比率组合技术来推导安全中断概率的封闭式表达式。为了提供基准,还分析了循环单 CRT 方案。提供了仿真结果来验证我们的分析,并表明 O-SCRT 提供了最佳的系统安全中断性能。由于在窃听链路中获取信道状态信息具有挑战性,我们提供了一种次优的单 CRT 方案,并通过在窃听者处调用选择组合和最大比率组合技术来推导安全中断概率的封闭式表达式。为了提供基准,还分析了循环单 CRT 方案。提供了仿真结果来验证我们的分析,并表明 O-SCRT 提供了最佳的系统安全中断性能。
更新日期:2022-06-03
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