Title :
A Methodology to Improve the Detection Accuracy in Digital Steganalysis
Author :
Savoldi, Antonio ; Gubian, Paolo
Author_Institution :
University of Brescia, Italy
Abstract :
The aim of this paper is to present a method to improve the detection accuracy of a blind steganalysis system from an engineering perspective, enlightening the effective methods to make a good dataset to be usable in building a blind steganographic system and showing significant results related to the use of the wavelet coefficients¿ statistics. Our experiments have been made using a large dataset of JPEG images obtained from a certified source that can be offered to the scientific community to compare the different proposed approaches in an objective way. The results show the effectiveness of the used solution on a large dataset and the real improvements in the detection accuracy.
Keywords :
Digital images; Discrete cosine transforms; Image coding; Signal processing algorithms; Statistics; Steganography; Support vector machine classification; Support vector machines; Transform coding; Wavelet coefficients;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2006. IIH-MSP '06. International Conference on
Conference_Location :
Pasadena, CA, USA
Print_ISBN :
0-7695-2745-0
DOI :
10.1109/IIH-MSP.2006.265020