Title :
Steganalysis in the Presence of Watermarked Images
Author :
Pham Hai Dang Le ; Graf, Daniel ; Franz, Matthias O.
Author_Institution :
Inst. for Opt. Syst. (IOS), HTWG Konstanz Univ. of Appl. Sci., Konstanz, Germany
Abstract :
Watermarked images are increasingly prevalent in the internet. Hence, any practical steganalyzer has to take the presence of watermarked images into account, particularly as potential source of false alarms due to similar embedding algorithms. In this study, we investigate the impact of watermarked images on the performance of a standard steganalyzer using two recent watermarking schemes: JPEG Compression Resistance Watermarking (JCRW) in the DCT domain [1] and Controllable Secure Watermarking (CSW) [2] in the pixel domain. Our findings show that JCRW and CSW do interfere with steganalysis. In particular, CSW-watermarked images were mostly classified as stego images thus rendering the investigated steganalyzer useless because of the excessively high false alarm rate. We propose a two-step classifier to handle this problem which achieves the same performance as the original steganalyzer, but in the presence of watermarking.
Keywords :
data compression; discrete cosine transforms; image classification; image coding; image watermarking; steganography; CRW; CSW; DCT domain; Internet; JPEG; compression resistance watermarking; controllable secure watermarking; embedding algorithms; false alarm rate; pixel domain; rendering; steganalysis; steganalyzer; stego image classification; two-step classifier; watermarked images; watermarking schemes; Robustness; Standards; Training; Transform coding; Unsolicited electronic mail; Watermarking; SVM; Steganalysis; Steganography; Watermark;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on
Conference_Location :
Beijing
DOI :
10.1109/IIH-MSP.2013.133