The Research On Information Hiding Technology Based On LSB

Information hiding has become a hot interest area recently in the research of information security . Its principle is embed private messages in the redundant information of the vector image. It gets the security of communications through hiding the existence of the communication process. The LSB steganography technology is one of the most import technology in information hiding. It has the advantages of a large capacity of information hiding and small changes to the original carrier. Therefore it is used widely.But steganography can be used illegally too. Many unlawful elements transfer illegal information using this method too. So steganalysis wheather the images transferred on the internet were embed secret information is very import, which has an important significance to protect the network security and the country's information security.In the summary of previous work based on the traditional model of steganography and the mathematical description of the perfect, get a more specific role in the division of the steganography model; in addition, study of the evaluation system to steganography. Noted the deficiencies in the evaluation of PSNR (peak signal to noise ratio), Singing a objective evaluation method to steganography based on NVF, which made the objective evaluation system be more more objective and practical.A considerable amount of attention has been paid to steganalyic technique of color images. For traditional LSB steganography algorithm characteristics to be detected easily, introduce an improved LSB steganography algorithm. We use sub-affine transform method in image pre-processing, and principle of the use of matrix-encoded, improve the information embedded in LSB mode, practice has proved that the algorithm is superior to ordinary LSB algorithm in commonly used to resist detection instrument at the testing,As a confrontational technique, this paper studies steganalysis using method of partial image stability, the method targeted at LSB (Least Significant Bits) embedded features. Aiming LSB algorithm mainly embed in the least significant bits of a digital image, steganaly the leaster part of the image, and combined with conventional methods of analysis, Test results show that the date of this method is significantly higher than that of traditional detection methods when the embedded rate is low.