journal article·2024-01-05Open access

The Optimization of Covert Communication in Asymmetric Jammer-Assist Systems

Sen Qiao, Ruizhi Zhu, Xiaopeng Ji, Junjie Zhao, Huihui Ding

Applied Sciences· Volume 14· Issue 2

Abstract

This research investigates the feasibility of covert and reliable communication between Alice and Bob in the presence of a vigilant adversary, Willie, employing a jammer in a complex Gaussian channel. Alice strategically manipulates the noise-power ratio along the real and imaginary axes to disrupt Willie’s detection capabilities. Covertness constraints are quantified using KL divergence, and transmission performance is assessed through mutual information. Additionally, an optimization method is introduced to enhance covert communication by fine-tuning the amplitude gain and noise-power ratio. Numerical results confirm the effectiveness and superiority of the proposed method, showcasing its ability to maximize covert transmission rates.
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Research context

OpenAlex topics: Wireless Communication Security Techniques · Security in Wireless Sensor Networks · Adversarial Robustness in Machine Learning

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China

Funding

National Natural Science Foundation of China · National Key Research and Development Program of China · The Startup Foundation for Introducing Talent of NUIST

References (34)

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