Extracting Spread-Spectrum Hidden Data From Digital Media

被引：37

作者：

Li, Ming ^{[1
]}

Kulhandjian, Michel K. ^{[2
]}

Pados, Dimitris A. ^{[1
]}

Batalama, Stella N. ^{[1
]}

Medley, Michael J. ^{[3
]}

机构：

[1] SUNY Buffalo, Dept Elect Engn, COMSENS Res Ctr, Buffalo, NY 14260 USA

[2] SUNY Buffalo, Dept Elect Engn, Buffalo, NY 14260 USA

[3] Air Force Res Lab RIGF, Rome, NY 13441 USA

来源：

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY | 2013年 / 8卷 / 07期

关键词：

Authentication; annotation; blind detection; covert communications; data hiding; information hiding; spread-spectrum embedding; steganalysis; steganography; watermarking; WEIGHTED LEAST-SQUARES; WATERMARKING SECURITY; IMAGE; STEGANALYSIS; SEPARATION; FRAMEWORK; CAPACITY; DESIGN; ARRAY;

D O I：

10.1109/TIFS.2013.2264462

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：1201 / 1210

页数：10

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