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Secure Lossy Transmission over Wiretap Channels with Side Information and State Information

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DOI: 10.23977/acss.2021.050102 | Downloads: 13 | Views: 341

Author(s)

Muyu Hu 1, Ming Xu 2

Affiliation(s)

1 College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
2 College of Electronicsand Information Engineering, Tongji University, Shanghai 201804, China

Corresponding Author

Muyu Hu

ABSTRACT

This paper investigates the problem of secure lossy transmission over wiretap channels with side information and state information. Aiming at the reliability and security of compressed pictures, videos and other files when they are transmitted, a wiretap channel model with side information and state information and a secure lossy source transmission scheme based on double binning technique under this model are proposed. By using Fano inequality and Csiszár sum identity, the inner bounds of transmission rate, distortion rate and information leakage rate are proved. Considering noisy situations in reality, the Gaussian noise channel under this model is analyzed concretely as an example. Based on error estimation and differential entropy theorem, the inner bounds of transmission rate and distortion rate are obtained. Moreover, the equivocation rate is introduced to transform the information leakage rate into the minimum mean square error of the estimated source and its outer bound is also obtained. The simulation results show that under the optimal conditions of the proposed system model, the transmission rate can reach 0.7315 bits/source bit, the distortion rate can reach 0.0052 bits/source bit and the information leakage rate can reach 0.1286 bits/source bit.

KEYWORDS

Secure lossy transmission, wiretap channel, side information, state information, information leakage

CITE THIS PAPER

Muyu Hu, Ming Xu, Secure Lossy Transmission over Wiretap Channels with Side Information and State Information. Advances in Computer, Signals and Systems (2021) 5: 8-22. DOI: http://dx.doi.org/10.23977/acss.2021.050102

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