One-Shot Information Hiding and Compound Wiretap Channels

📅 2026-09-18
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🤖 AI Summary
研究了信息隐藏和复合窃听信道两个保密问题,通过覆盖论证和泊松匹配引理提出了一种新的单次可实现方法,适用于任何信源分布和信道类型。
📝 Abstract
In recent years, due to the growing reliance on large amounts of data that are communicated, analyzed, and utilized, which inherently contain sensitive and personal information, secrecy and privacy in communication have become increasingly important. We present nonasymptotic information-theoretic analyses of two fundamental secrecy problems under channel uncertainties: the information hiding problem and the compound wiretap channel. The former admits a game-theoretic formulation, where one party (an information hider and a decoder) seeks to embed secret messages into a host signal for later reconstruction, while the opposing party (an attacker) attempts to remove or degrade the embedded information. The latter generalizes Wyner's wiretap channel by allowing multiple potential channel states. The information hiding problem concerns active attacks during data transmission, while the compound wiretap channel addresses passive eavesdropping and information leakage. The two problems, both of which consider channels with uncertainties, can be studied under a unified framework by utilizing a covering argument and the Poisson matching lemma by Li and Anantharam. We derive novel one-shot achievability results for both problems that are applicable to any source distribution and any class of channels (not necessarily memoryless or ergodic), and that apply to both discrete and continuous cases. We also show that existing asymptotic results on both problems can be recovered by applying our results to discrete memoryless channels.
Problem

Research questions and friction points this paper is trying to address.

information hiding
compound wiretap channel
channel uncertainties
Innovation

Methods, ideas, or system contributions that make the work stand out.

nonasymptotic information-theoretic analysis
covering argument
Poisson matching lemma
one-shot achievability results
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Yanxiao Liu
Department of Electrical and Electronic Engineering, Imperial College London, London, UK
Cheuk Ting Li
Cheuk Ting Li
Assistant Professor, Dept of Information Engineering, CUHK
Information Theory