Education, Science, Technology, Innovation and Life
Open Access
Sign In

Physical-layer Security from Channel Resolvability

Download as PDF

DOI: 10.23977/acss.2022.060107 | Downloads: 34 | Views: 843

Author(s)

Jiajia Wu 1, Ming Xu 1

Affiliation(s)

1 College of Information Engineering, Shanghai Maritime University, Shanghai, 201306, China

Corresponding Author

Ming Xu

ABSTRACT

This paper discusses the performance of achieving physical layer security from channel resolvability in terms of secrecy and offers a kind of classification for different detection methods, including conventional hypothesis testing and active hypothesis testing. The difference between them is whether or not the detection time is a random variable. Moreover, this paper has a discussion on the applications of the practical case studies based on polar code from the channel resolvability, such as wireless channels with or without state information, point to point channel with an eavesdropper, multiple access channel with an eavesdropper, and communication networks at the physical layer. The channel resolvability is shown to be a promising method to achieve secrecy and covertness in the physical-layer.

KEYWORDS

Physical-layer security, Channel resolvability, Polar code, Hypothesis testing

CITE THIS PAPER

Jiajia Wu, Ming Xu, Physical-layer Security from Channel Resolvability. Advances in Computer, Signals and Systems (2022) Vol. 6: 46-51. DOI: http://dx.doi.org/10.23977/acss.2022.060107.

REFERENCES

[1] Bloch M. R. (2016) Covert Communication Over Noisy Channels: A Resolvability Perspective. IEEE Transactions on Information Theory, 62, 2334-2354. 
[2] Han T. S. and Verdu S. (1993) Approximation theory of output statistics. IEEE Transactions on Information Theory, 39, 752-772.  
[3] Bloch M. R. and Laneman J. N. (2013) Strong Secrecy From Channel Resolvability. IEEE Transactions on Information Theory. 59, 8077-8098.
[4] Bash B. A., Goeckel D. and Towsley D. (2013) Limits of Reliable Communication with Low Probability of Detection on AWGN Channels. IEEE Journal on Selected Areas in Communications. 31, 1921-1930.
[5] Arikan E. (2009) Channel Polarization: A Method for Constructing Capacity-Achieving Codes for Symmetric Binary-Input Memoryless Channels. IEEE Transactions on Information Theory. 55, 3051-3073.
[6] Chou R. A. and Bloch M. R. (2016) Polar Coding for the Broadcast Channel With Confidential Messages: A Random Binning Analogy. IEEE Transactions on Information Theory. 62, 2410-2429.
[7] Kadampot I. A., Tahmasbi M. and Bloch M. R. (2020) Multilevel-Coded Pulse-Position Modulation for Covert Communications Over Binary-Input Discrete Memoryless Channels. IEEE Transactions on Information Theory. 66, 6001-6023.
[8] Choi K. W., Jeon W. S. and Jeong D. G. (2009) Sequential detection of cyclostationary signal for cognitive radio systems. IEEE Transactions on Wireless Communications, 8, 4480-4485.
[9] Chang M. C. and Bloch M. R. (2021) Evasive Active Hypothesis Testing. IEEE Journal on Selected Areas in Information Theory. 2, 735-746.

Downloads: 13036
Visits: 255003

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.