DocumentCode :
502838
Title :
Steganalysis of two least significant bits embedding based on least square method
Author :
Niu, Changming ; Sun, Xingming ; Qin, Jiaohua ; Xia, Zhihua
Author_Institution :
Sch. of Comput. & Commun., Hunan Univ., Changsha, China
Volume :
3
fYear :
2009
fDate :
8-9 Aug. 2009
Firstpage :
124
Lastpage :
127
Abstract :
The purpose of steganalysis is to detect the existence of the hidden messages. In this paper, a steganalysis algorithm against two least significant bits steganography is proposed in order to estimate the hidden message length in images. In the method, firstly we estimate an approximately original image through a local masked estimation function. Then we construct a weighted stego image by extending the definition which was proposed in LSB steganalysis to 2LSB. Finally, detection equation is formulated as a simple optimization problem between approximately original image and weighted stego image. Hidden message length can be easily calculated by solving the detection equation. Experimental results reveal that this algorithm can estimate the length of secret message with high accuracy.
Keywords :
least squares approximations; steganography; detection equation formulation; hidden message existence; least significant bits steganography; least square method; masked estimation function; steganalysis algorithm; Communication system control; Detection algorithms; Embedded computing; Equations; Estimation error; Least squares approximation; Least squares methods; Mathematics; Pixel; Steganography; steganalysis; steganography; weighted stego image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-4247-8
Type :
conf
DOI :
10.1109/CCCM.2009.5268019
Filename :
5268019
Link To Document :
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