DocumentCode :
3411453
Title :
Detection of watermarking methods using Steganalysis
Author :
Gul, Gokhan ; Kurugollu, Fatih
Author_Institution :
Fac. of Eng., Univ. of Kiel, Kiel
fYear :
2008
fDate :
March 31 2008-April 4 2008
Firstpage :
1725
Lastpage :
1728
Abstract :
This paper presents a singular value decomposition (SVD) based steganalysis technique to determine the watermarking method used to embed a watermark in an image. The detection is carried out in three steps. First, the proposed technique determines whether an image under consideration contains a watermark. If a watermark is detected, the embedding domain is revealed. Finally, the exact watermarking algorithm is named. The idea behind the method is that when the image is watermarked, relative and strict linear dependencies of rows/columns will differ from the original image and this can be modeled by the analysis of SVD. By using SVD, several features for the classification of the original and watermarked images are defined. The classification operation including both a linear and a SVM classifier is performed with a feature selection algorithm, which serves to reduce the number of features and to increase the detection performance. The performance of the proposed technique is promising and simulation results indicate that the chosen features can reliably detect the watermarking domain as well as the watermarking method.
Keywords :
cryptography; feature extraction; image classification; image coding; singular value decomposition; watermarking; SVD; SVM classifier; feature selection algorithm; image classification; linear classifier; singular value decomposition; steganalysis technique; watermark image; watermarking methods; Algorithm design and analysis; Application software; Computer science; Cryptographic protocols; Cryptography; Data mining; Detectors; Matrix decomposition; Singular value decomposition; Watermarking; Classification; Steganalysis; Watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
1520-6149
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2008.4517962
Filename :
4517962
Link To Document :
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