DocumentCode
2027827
Title
Steganalysis of LSB Greedy Embedding Algorithm for JPEG Images using Coefficient Symmetry
Author
Li, Bin ; Huang, Fangjun ; Huang, Jiwu
Author_Institution
Sun Yat-sen Univ., Guangzhou
Volume
1
fYear
2007
fDate
Sept. 16 2007-Oct. 19 2007
Abstract
A recently developed LSB greedy embedding algorithm for JPEG images is capable of resisting the chi-square attack. By carefully studying the quantized DCT (discrete cosine transform) coefficients of the cover and stego images, we find that the embedding algorithm does not preserve the histogram of the DCT coefficients well. In this paper, we define a new chi-square statistic which is used to measure whether the image under scrutiny is like the cover or the stego. Our proposed steganalytic method is based on the symmetry property of the DCT coefficients in JPEG images. It can also be used in the scenario where the cover images are double JPEG compressed. The reliability of this specific steganalytic scheme depends on the embedding rate and it is influenced by the JPEG quality factor. Experimental results show that when the embedding rate exceeds half of the maximal embedding capacity, the steganographic algorithm is detectable with a very low false negative rate, whatever the quality factor is.
Keywords
cryptography; discrete cosine transforms; greedy algorithms; image coding; statistical analysis; DCT coefficients; JPEG images; LSB greedy embedding algorithm; chi-square statistic; coefficient symmetry; cover images; quantized discrete cosine transform coefficients; steganalysis; steganography; stego images; Discrete cosine transforms; Frequency; Histograms; Image coding; Information security; Laboratories; Q factor; Statistics; Steganography; Transform coding; Chi-square Attack; LSB Greedy Embedding; Steganalysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1522-4880
Print_ISBN
978-1-4244-1437-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2007.4378979
Filename
4378979
Link To Document