Rethinking Optimal Embedding

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00307135" target="_blank" >RIV/68407700:21230/16:00307135 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1145/2909827.2930797" target="_blank" >http://dx.doi.org/10.1145/2909827.2930797</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/2909827.2930797" target="_blank" >10.1145/2909827.2930797</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Rethinking Optimal Embedding

Popis výsledku v původním jazyce

At present, almost all leading steganographic techniques for still images use a distortion minimization paradigm, where each potential change is assigned a cost ci and the change probabilities πi chosen to minimize the average total cost ∑iπici. However, some detectors have exploited knowledge of this adaptivity and the embedding cannot be considered optimal. In this work we prove a theoretical result suggesting that, against a knowing attacker, the embedder should simply minimize ∑iπ2ici instead, for the same costs ci, which is the minimax and equilibrium strategy. This aligns with some special case results that have appeared in recent literature. We then test some simple steganographic methods in theoretical and real settings, showing that naive (average cost) adaptivity is exploitable, but the equilibrium probabilities cannot be exploited. However, it is essential to determine statistically well-founded costs ci.

Název v anglickém jazyce

Rethinking Optimal Embedding

Popis výsledku anglicky

At present, almost all leading steganographic techniques for still images use a distortion minimization paradigm, where each potential change is assigned a cost ci and the change probabilities πi chosen to minimize the average total cost ∑iπici. However, some detectors have exploited knowledge of this adaptivity and the embedding cannot be considered optimal. In this work we prove a theoretical result suggesting that, against a knowing attacker, the embedder should simply minimize ∑iπ2ici instead, for the same costs ci, which is the minimax and equilibrium strategy. This aligns with some special case results that have appeared in recent literature. We then test some simple steganographic methods in theoretical and real settings, showing that naive (average cost) adaptivity is exploitable, but the equilibrium probabilities cannot be exploited. However, it is essential to determine statistically well-founded costs ci.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security

ISBN

978-1-4503-4290-2

ISSN

—

e-ISSN

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Počet stran výsledku

10

Strana od-do

93-102

Název nakladatele

ACM

Místo vydání

New York

Místo konání akce

Vigo

Datum konání akce

20. 6. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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