Blind Multi-Class Steganalysis System Using Wavelet Statistics

Authors:
Antonio Savoldi;Paolo Gubian
Affiliations:
-;-
Venue:
IIH-MSP '07 Proceedings of the Third International Conference on International Information Hiding and Multimedia Signal Processing (IIH-MSP 2007) - Volume 02
Year:
2007

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Abstract

The aim of this paper is to present an effective multi-class steganalysis system, based on high-order wavelet statistics, capable of attributing stego images to four popular stegano- graphic algorithms, namely F5 [15], Outguess [11], JP Hide&Seek [9], and Steghide [6]. The proposed method, based on a clustering approach, provides signi cantly reli- able results.