On the Performance Bounds of Steganographic Polar Codes

Steganographic coding is a fundamental technique in adaptive steganography, and the introduction of polar codes has significantly enhanced its security. However, the performance of steganographic polar codes has primarily been evaluated through experiments, and their construction has remained some-what heuristic. This paper theoretically presents an optimal model for steganographic polar codes based on a analysis of their performance bounds, by examining the relationship between polar code decoding and steganographic coding based on polar codes. Although this model can only be constructed approximately, numerical simulations indicate that the proposed optimal construction offers improved security performance compared to classic codes.

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Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1109/wcsp62071.2024.10827375
Citations
1
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.35
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On the Performance Bounds of Steganographic Polar Codes

Haocheng Fu, Yun Cao, Xiaolei He
1 citations
Cryptography and Data Security
0.35
article

On the Performance Bounds of Steganographic Polar Codes

Haocheng Fu, Yun Cao, Xiaolei He
article en
1 citations

Abstract

Steganographic coding is a fundamental technique in adaptive steganography, and the introduction of polar codes has significantly enhanced its security. However, the performance of steganographic polar codes has primarily been evaluated through experiments, and their construction has remained some-what heuristic. This paper theoretically presents an optimal model for steganographic polar codes based on a analysis of their performance bounds, by examining the relationship between polar code decoding and steganographic coding based on polar codes. Although this model can only be constructed approximately, numerical simulations indicate that the proposed optimal construction offers improved security performance compared to classic codes.

Chinese Academy of Sciences (CN), Institute of Information Engineering (CN)
Climate action
Openalex Percentile: Top 30%
Cryptography and Data Security
0.35
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