The Steganographer is the Outlier: Realistic Large-Scale Steganalysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00225398" target="_blank" >RIV/68407700:21230/14:00225398 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6851179" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6851179</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TIFS.2014.2336380" target="_blank" >10.1109/TIFS.2014.2336380</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The Steganographer is the Outlier: Realistic Large-Scale Steganalysis

Popis výsledku v původním jazyce

We present a method for a completely new kind of steganalysis to determine who, out of a large number of actors each transmitting a large number of objects, is hiding payload inside some of them. It has significant challenges, including unknown embeddingparameters and natural deviation between innocent cover sources, which are usually avoided in steganalysis tested under laboratory conditions. Our method uses standard steganalysis features, the maximum mean discrepancy measure of distance, and ranks the actors by their degree of deviation from the rest: we show that it works reliably, completely unsupervised, when tested against some of the standard steganography methods available to nonexperts. We also determine good parameters for the detector and show that it creates a two-player game between the guilty actor and the steganalyst.

Název v anglickém jazyce

The Steganographer is the Outlier: Realistic Large-Scale Steganalysis

Popis výsledku anglicky

We present a method for a completely new kind of steganalysis to determine who, out of a large number of actors each transmitting a large number of objects, is hiding payload inside some of them. It has significant challenges, including unknown embeddingparameters and natural deviation between innocent cover sources, which are usually avoided in steganalysis tested under laboratory conditions. Our method uses standard steganalysis features, the maximum mean discrepancy measure of distance, and ranks the actors by their degree of deviation from the rest: we show that it works reliably, completely unsupervised, when tested against some of the standard steganography methods available to nonexperts. We also determine good parameters for the detector and show that it creates a two-player game between the guilty actor and the steganalyst.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/GPP103%2F12%2FP514" target="_blank" >GPP103/12/P514: Detekce anomalií v reálném čase a časově nestálem prostředí</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY

ISSN

1556-6013

e-ISSN

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Svazek periodika

9

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

12

Strana od-do

1424-1435

Kód UT WoS článku

000340209000008

EID výsledku v databázi Scopus

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