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Computer Science, Information Theory

Paving the Way for Secure and Covert Communications: A New Noise Modulation Scheme

Paving the Way for Secure and Covert Communications: A New Noise Modulation Scheme

In this article, we explore a novel approach to secure communication through the use of "noise-alike" signals. By exploiting the properties of these signals, which are designed to mimic the characteristics of noise, we can create a system that is capable of transmitting information in a covert and unconditionally secure manner.
The proposed system, called NoiseMod, leverages the idea of oversampling the signal to be transmitted, resulting in a much larger number of samples than necessary for the original signal. By manipulating these additional samples, we can create a "noisy" version of the signal that is then transmitted over a channel prone to noise. The receiver side then uses non-coherent detection methods to extract the original information from the received signal, without requiring any prior knowledge of the channel.
The key advantage of NoiseMod is its ability to achieve high error performance in the presence of noise, while also providing flexibility in terms of the number of noise samples per symbol. This allows for a trade-off between error performance and bit rate, making NoiseMod an attractive solution for applications where security and reliability are paramount.
To evaluate the performance of NoiseMod, we conducted experiments using a line-of-sight (LOS)-dominated additive white Gaussian noise (AWGN) channel, as well as fading channels. Our results show that NoiseMod outperforms traditional digital communication systems in terms of error performance, while also providing a more robust and secure transmission mechanism.
In summary, NoiseMod represents a significant advancement in the field of secure communication, offering a novel approach to transmitting information in a covert and unconditionally secure manner. By leveraging the properties of noise-alike signals, we can create a system that is capable of achieving high error performance in the presence of noise, while also providing flexibility and robustness.