Title :
Blind Multi-Class Steganalysis System Using Wavelet Statistics
Author :
Savoldi, Antonio ; Gubian, Paolo
Author_Institution :
Univ. of Brescia, Brescia
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 stenographically algorithms, namely F5 [15], Outguess [11], JP Hide&Seek [9], and Steghide [6]. The proposed method, based on a clustering approach, provides significantly reliable results.
Keywords :
cryptography; data encapsulation; image processing; statistical analysis; wavelet transforms; F5; JP Hide&Seek; Outguess; Steghide; blind multi-class steganalysis system; high-order wavelet statistics; stegano- graphic algorithms; stego images; Automation; Clustering algorithms; Data mining; Digital images; Image analysis; Image databases; Machine learning; Spatial databases; Statistics; Steganography;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2007. IIHMSP 2007. Third International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-2994-1
DOI :
10.1109/IIHMSP.2007.4457661
