Paper Info
Title
Lightweight Steganalysis Based On Image Reconstruction And Lead Digit Distribution Analysis
Abstract
This paper presents a novel method of JPEG image Steganalysis, driven by the need for a quick and accurate identification of stego-carriers from a collection of files, where there is no knowledge of the steganography algorithm used, nor previous database of suspect carrier files created. The suspicious image is analyzed in order to identify the encoding algorithm while various meta-data is retrieved. An image file is then reconstructed in order to be used as a measure of comparison. A generalization of the basic principles of Benford's Law distribution is applied on both the suspicious and the reconstructed image file in order to decide whether the target is a stego-carrier. The authors demonstrate the effectiveness of the technique with a steganalytic tool that can blindly detect the use of JPHide/JPseek/JPHSWin, Camouflage and Invisible Secrets. Experimental results show that the steganalysis scheme is able to efficiently detect the use of different steganography algorithms without the use of a time consuming training step, even if the embedding data rate is very low. The accuracy of the detector is independent of the payload. The method described can be generalized in order to be used for the detection of different type images which act as stego-carriers.
Year
DOI
Venue
2011
10.4018/jdcf.2011100103
INTERNATIONAL JOURNAL OF DIGITAL CRIME AND FORENSICS
Keywords
Field
DocType
Benford's, Data Hiding, JPEG, Staganalysis, Steganography
Iterative reconstruction,Computer vision,Computer science,Computer security,Numerical digit,Artificial intelligence,Steganalysis
Journal
Volume
Issue
ISSN
3
4
1941-6210
Citations 
PageRank 
References 
1
0.40
7
Authors
5
Name
Order
Citations
PageRank
Alexandros Zaharis161.61
adamantini i martini261.61
Theo Tryfonas324029.94
Christos Ilioudis43210.41
George Pangalos521523.63