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