On the Impact of Warden Collusion on Covert Communication in Wireless Networks

IF 8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS IEEE Transactions on Information Forensics and Security Pub Date : 2025-02-10 DOI:10.1109/TIFS.2025.3540575
Shuangrui Zhao;Jia Liu;Yulong Shen;Xiaohong Jiang;Tarik Taleb;Norio Shiratori
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Abstract

Warden collusion represents a hazardous threat to wireless covert communication, where wardens can combine their observations to perform a more aggressive detection attack. This paper investigates the impact of warden collusion on covert communication in a multi-antenna wireless network consisting of one source, one destination, multiple wardens and interferers. By employing the techniques of Laplace Transform and Cauchy Integral Theorem, we first establish a framework to model the aggregate interference distribution (AID) for covert communication in the network under the typical additive white Gaussian noise (AWGN) and Rayleigh fading channels. Based on the AID results, we then develop theoretical models to reveal the inherent relationship between the collusion intensity and fundamental communication metrics in terms of the covert outage probability, connection outage probability and covert throughput. With the help of these models, we further explore the covert throughput optimization problems and present extensive numerical results to illustrate the impact of warden collusion on the covert throughput under both channel models.
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论监狱长合谋对无线网络隐蔽通信的影响
监狱长勾结代表了对无线隐蔽通信的危险威胁,监狱长可以结合他们的观察来执行更积极的探测攻击。研究了由一源、一目的、多个监狱长和干扰者组成的多天线无线网络中监狱长串通对隐蔽通信的影响。利用拉普拉斯变换和柯西积分定理,首先建立了典型加性高斯白噪声(AWGN)和瑞利衰落信道下网络隐蔽通信的总干扰分布(AID)建模框架。在此基础上,我们建立了理论模型,揭示了合谋强度与基本通信指标之间的内在关系,包括隐蔽中断概率、连接中断概率和隐蔽吞吐量。在这些模型的帮助下,我们进一步探讨了隐蔽吞吐量优化问题,并给出了广泛的数值结果来说明两种通道模型下监狱长合谋对隐蔽吞吐量的影响。
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来源期刊
IEEE Transactions on Information Forensics and Security
IEEE Transactions on Information Forensics and Security 工程技术-工程:电子与电气
CiteScore
14.40
自引率
7.40%
发文量
234
审稿时长
6.5 months
期刊介绍: The IEEE Transactions on Information Forensics and Security covers the sciences, technologies, and applications relating to information forensics, information security, biometrics, surveillance and systems applications that incorporate these features
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