M. Kameswara Rao

Bio: M. Kameswara Rao is an academic researcher. The author has contributed to research in topics: Steganography & Steganography tools. The author has an hindex of 1, co-authored 1 publications receiving 3 citations.

Security Enhancement in Image Steganography a MATLAB Approach

Abstract: Steganography helps in communication of secured data in several carries like images, videos and audio. It undergoes many useful applications and well known for ill intentions. It was mainly proposed for the security techniques in the increase of computational power, in order to have security awareness like individuals, groups, agencies etc. The factors that are separated from cryptography and water making are data is not detectable; capacity of hidden data is unknown and robustness of medium. The steganography provides different methods existing and guidelines. The current technology of image steganography involves techniques of LSB in image domain but once the attacker acknowledges that medium is containing embedded data he will attack the medium and breaks into the secured content. In this paper we are discussing how to protect the steganography image by embedding it into another medium using mat lab. Here we work on image matrices to perform the steganography. Lightness adjustment on the matrix is done to reduce the brighter pixels in image. The lightness decreased image then embedded into another cover image by matrix difference technique (will be discussed in detail). This enhances the security to a higher level because to acquire the steganography image embedded we need to have the key image which will be having only by the receiver. And from millions of images on the internet it is impossible for an attacker to guess the key image. And this enhances the level of security.

Improvement of Image Steganography Using Discrete Wavelet Transform

Abstract: Recently the Discrete-Wavelet-Transform (DWT) has been represented as signal processing powerful tool to separate the signal into its band frequency components. In this paper, improvement of the steganography techniques by hiding the required message into the suitable frequency band is presented. The results show that the increase of the message length will reduce the Peak Signal to Noise Ratio (PSNR), while the PSNR increases with the increasing the DWT levels. It should be noted that the PSNR reduction was from -13.8278 to -17.77208 when increasing the message length from 161 to 505 characters. In this context, the PSNR is increased from -13.8278 to 7.0554 and from -17.7208 to 1.7901 when the DWT increased from level (1) to level (2).

Analysis of Image Steganography Performance Check Using Bit Selection

Abstract: Hidden communication is important since ancient times to provide the secrecy of information which may be for personal work or for professional work. In the ancient times cryptography was the main method for secret communication. In cryptography message is encrypted in some way but the existence of message is known to the third party which gives the possibility of hacking of the message by third party easily. Here comes the use of steganography which overcomes the drawback of cryptography. In steganography the existence of message is not known to the third party that makes it easy for two parties to communicate in an imperceptible manner. There are various techniques using steganography. Following work has been done using bit steganography in which bits of one image have been used which is called cover image to hide message image. This technique has been used on every bit of each pixel of cover image starting from LSB to MSB and then comparison of results has been done on the basis of mean square error ad peak signal to noise ratio.

A Novel Approach of Encoding for Image Steganography with Reduced Data Content

Abstract: Image Steganography is the technology that is being used to provide secure communication between the sender and the receiver. As the technology enhances, security becomes the important concern. Thus, image Steganography helps in embedding the data behind the image with the original image so that unauthorized user cannot access the data. In this paper, different techniques of image Steganography are discussed. This paper also concludes the comparison of the proposed technique with the existing techniques. Encoding of the data will reduce the risk of data tampering by unauthorized user and increase the security of the system. So the image format conversion is also used that will provide additional security to the data. Experiments have been performed with the proposed and existing technique and result proves that the efficiency of the proposed method is better in terms of security.