Extracting spread-spectrum hidden data from digital media

Ming Li; Michel K. Kulhandjian; Dimitris A. Pados; Stella N. Batalama; Michael J. Medley

doi:10.1109/TIFS.2013.2264462

Extracting spread-spectrum hidden data from digital media

Ming Li
, Michel K. Kulhandjian
, Dimitris A. Pados
, Stella N. Batalama
, Michael J. Medley

College of Engineering

SUNY Polytechnic Institute

SUNY Buffalo
EION Inc.

Research output: Contribution to journal › Article › peer-review

44 Scopus citations

Abstract

We consider the problem of extracting blindly data embedded over a wide band in a spectrum (transform) domain of a digital medium (image, audio, video). We develop a novel multicarrier/signature iterative generalized least-squares (M-IGLS) core procedure to seek unknown data hidden in hosts via multicarrier spread-spectrum embedding. Neither the original host nor the embedding carriers are assumed available. Experimental studies on images show that the developed algorithm can achieve recovery probability of error close to what may be attained with known embedding carriers and host autocorrelation matrix.

Original language	English
Article number	6517928
Pages (from-to)	1201-1210
Number of pages	10
Journal	IEEE Transactions on Information Forensics and Security
Volume	8
Issue number	7
DOIs	https://doi.org/10.1109/TIFS.2013.2264462
State	Published - 2013

Keywords

Authentication
annotation
blind detection
covert communications
data hiding
information hiding
spread-spectrum embedding
steganalysis
steganography
watermarking

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10.1109/TIFS.2013.2264462

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title = "Extracting spread-spectrum hidden data from digital media",

abstract = "We consider the problem of extracting blindly data embedded over a wide band in a spectrum (transform) domain of a digital medium (image, audio, video). We develop a novel multicarrier/signature iterative generalized least-squares (M-IGLS) core procedure to seek unknown data hidden in hosts via multicarrier spread-spectrum embedding. Neither the original host nor the embedding carriers are assumed available. Experimental studies on images show that the developed algorithm can achieve recovery probability of error close to what may be attained with known embedding carriers and host autocorrelation matrix.",

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AU - Kulhandjian, Michel K.

AU - Pados, Dimitris A.

AU - Batalama, Stella N.

AU - Medley, Michael J.

PY - 2013

Y1 - 2013

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AB - We consider the problem of extracting blindly data embedded over a wide band in a spectrum (transform) domain of a digital medium (image, audio, video). We develop a novel multicarrier/signature iterative generalized least-squares (M-IGLS) core procedure to seek unknown data hidden in hosts via multicarrier spread-spectrum embedding. Neither the original host nor the embedding carriers are assumed available. Experimental studies on images show that the developed algorithm can achieve recovery probability of error close to what may be attained with known embedding carriers and host autocorrelation matrix.

KW - Authentication

KW - annotation

KW - blind detection

KW - covert communications

KW - data hiding

KW - information hiding

KW - spread-spectrum embedding

KW - steganalysis

KW - steganography

KW - watermarking

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JO - IEEE Transactions on Information Forensics and Security

JF - IEEE Transactions on Information Forensics and Security

IS - 7

M1 - 6517928

ER -

Extracting spread-spectrum hidden data from digital media

Abstract

Keywords

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