Title
LSB steganographic method based on reversible histogram transformation function for resisting statistical steganalysis
Abstract
Statistical steganalysis schemes detect the existence of secret information embedded by steganography. The x^2-detection and Regular-Singular (RS)-attack methods are two well-known statistical steganalysis schemes used against LSB (least significant bit) steganography. The embedded message length can be estimated accurately by these two steganalysis schemes. For secret communication, the resistance of steganography against steganalysis is very important for information security. To avoid the enemy's attempts, the statistical features between stego-images and cover images should be as similar as possible for better resistance to steganalysis. In this manuscript, a reversible histogram transformation function-based LSB steganographic method is proposed to resist statistical steganalysis. The experimental results show that the proposed method resists not only RS-attack but also x^2-detection methods.
Year
DOI
Venue
2012
10.1016/j.ins.2011.06.003
Inf. Sci.
Keywords
Field
DocType
better resistance,steganalysis scheme,well-known statistical steganalysis scheme,reversible histogram transformation function,statistical steganalysis scheme,attack method,embedded message length,lsb steganographic method,statistical steganalysis,statistical feature,2-detection method,steganography,steganalysis,information hiding
Histogram,Steganography,Transformation (function),Steganography tools,Pattern recognition,Information hiding,Message length,Artificial intelligence,Steganalysis,Mathematics,Least significant bit
Journal
Volume
ISSN
Citations 
188,
0020-0255
21
PageRank 
References 
Authors
0.98
24
2
Name
Order
Citations
PageRank
Der-Chyuan Lou146837.88
Chen-Hao Hu2221.67