P. Chenna Reddy's scientific contributions

Least Significant Bit (LSB) Steganography is a method for hidden information in such a way that can only be detected by its intended recipient. Steganography in Digital media becomes a challenging discipline, since the Human Auditory System (HAS) is highly sensitive. One of the main obstacles of the number of files hiding in Digital media is to develop a system which has the quality to include number of files and without affectively the Digital media and provides Statistical steganalysis schemes detect the existence of secret information embedded by steganography. The detection and regular singular (RS) attack methods are two well known statistical stegnalysis schemes used against LSB. 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 enemy's attempts, the statistical features between stego-media and cover-media should be as similar as possible for better resistance to steganalysis. In this paper we propose a reversible histogram transformation function based LSB steganographic method to resist statistical steganalysis. The cover data should not be significantly degraded by the embedded data and the embedded data should be as imperceptible as possible. The embedded data should be as immune as possible to modifications from intelligent attacks or anticipated manipulations. Thus it is necessary that the hidden message should be encrypted. Steganograph is an application of Digital media(Image, Audio, Video) steganography. It hides data in digital media files.

Steganography is derived from the Greek word steganos which literally means “Covered” and graphy means “Writing”, i.e. covered writing. Steganography refers to the science of “invisible” communication. For hiding secret information in various file formats, there exists a large variety of steganographic techniques some are more complex than others and all of them have respective strong and weak points. The Least Significant Bit (LSB) embedding technique suggests that data can be hidden in the least significant bits of the cover image and the human eye would be unable to notice the hidden image in the cover file. This technique can be used for hiding images in 24-Bit, 8-Bit, Gray scale format. This paper explains the LSB Embedding technique and Presents the evaluation for various file formats.