Stealth Communication with Vanishing Power over Binary Symmetric Channels

Lentner, Diego; Kramer, Gerhard

doi:10.1109/isit44484.2020.9174381

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…For example, informational divergence (I-divergence)-minimization and invertibility are useful for variational inference [1], [2] and image processing [3]. Another example is the stealth communication problem [4]- [6] where two parties try to hide communication from a "warden". The model has two possible states: one party sends either "noise" with per-letter statistics Q A or it sends a string a n = a 1 , .…”

Section: Introductionmentioning

confidence: 99%

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Invertible Low-Divergence Coding

Schulte¹,

Amjad²,

Wiegart³

et al. 2020

Preprint

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Several applications in communication, control, and learning require approximating target distributions to within small informational divergence (I-divergence). The additional requirement of invertibility usually leads to using encoders that are one-to-one mappings, also known as distribution matchers. However, even the best one-to-one encoders have I-divergences that grow logarithmically with the block length in general. To improve performance, an encoder is proposed that has an invertible one-to-many mapping and a low-rate resolution code. Two algorithms are developed to design the mapping by assigning strings in either a most-likely first or least-likely first order. Both algorithms give information rates approaching the entropy of the target distribution with exponentially decreasing I-divergence and with vanishing resolution rate in the block length.

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Section: Introductionmentioning

confidence: 99%

“…We refer to [13], [16] for more discussion and references on the relations between DM and RC/RNG and their applications to, e.g., shaping for communication. Results for learning, stealth, control, and coordination are developed and reviewed in, e.g., [1]- [6], [17]- [20].…”

Section: Introductionmentioning

confidence: 99%