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Covert Communication Over Noisy Channels: A Resolvability Perspective
Open accessAbstract
We consider the situation in which a transmitter attempts to communicate reliably over a discrete memoryless channel, while simultaneously ensuring covertness (low probability of detection) with respect to a warden, who observes the signals through another discrete memoryless channel. We develop a coding scheme based on the principle of channel resolvability, which generalizes and extends prior work in several directions. First, it shows that irrespective of the quality of the channels, it is possible to communicate on the order of √n reliable and covert bits over n channel uses if the transmitter and the receiver share on the order of √n key bits. This improves upon earlier results requiring on the order of √n log n key bits. Second, it proves that if the receiver's channel is better than the warden's channel in a sense that we make precise, it is possible to communicate on the order of √n reliable and covert bits over n channel uses without a secret key. This generalizes earlier results established for binary symmetric channels. We also identify the fundamental limits of covert and secret communications in terms of the optimal asymptotic scaling of the message size and key size, and we extend the analysis to Gaussian channels. The main technical problem that we address is how to develop concentration inequalities for low-weight sequences. The crux of our approach is to define suitably modified typical sets that are amenable to concentration inequalities.
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Cites
Limits of Reliable Communication with Low Probability of Detection on AWGN Channels
Bash, B. A., Goeckel, D., & Towsley, D. (2013) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2013.130923 · Cited by 1,075
A Capacity Result for Batch Steganography
Ker, A. D. (2007) · IEEE Signal Processing Letters · doi:10.1109/lsp.2006.891319 · Cited by 113
Cited by
Low Probability of Detection Communication: Opportunities and Challenges
Yan, S., Zhou, X., Hu, J., & Hanly, S. V. (2019) · IEEE Wireless Communications · doi:10.1109/mwc.001.1900057 · Cited by 361
Metadata
- Authors
- Bloch, M. R.
- Venue
- IEEE Transactions on Information Theory
- Published
- 2016-05
- Volume
- 62
- Issue
- 5
- Pages
- 2334-2354
- ISSN
- 0018-9448 (ISSN-L)
- 1557-9654
- OpenAlex
- W1897081267
- Cited by
- 433
- References
- 2
- FWCI
- 20.73
- Type
- journal article
- Language
- en
- Open access
- green
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