Steganography is the art of protected or hidden writing. The purpose of steganography is covert communication to hide the presence of a message from a third party asp.net software companies in India.
Steganography methods:
Substitution Methods (Spatial-Domain): A secured robust approach of information security is planned. It presents two module based LSB (Least Significant Bit) methods for inserting secret data in the LSB’s of blue mechanisms and partial green components of random pixel places in the edges of images for the software companies in India. An adaptive LSB based steganography is planned for embedding data based on data available in MSB’s of red, green, and blue components of arbitrarily selected pixels across plane areas. It is more robust as it is linked with an Advanced Encryption Standard (AES). A new high capacity Steganography scheme using 3D geometric models is projected. The algorithm re-triangulates a part of a triangular mesh and inserts the secret information into newly added position of triangular meshes.
Transform Domain Methods: A method that customs two gray scale images of size 128 x 128 that are used in software companies India as surreptitious images and inserting is done in RGB and YCbCr domains. The quality of stego images are decent in RGB domain by comparing the PSNR values. It uses Integer Wavelet Transform (IWT) to hide secret images in the color cover image. It compared the PSNR values and image quality when inserting is done in the RGB and YCbCr domains. Integer Wavelet Transform (IWT) have been recommended to hide multiple secret images and keys in a color cover image which is more effective. The cover image is categorized in the YCbCr color space. Two keys are found, encrypted and hidden in the cover image using IWT.
Statistical Methods: A practical methodology for minimizing additive distortion in steganography with general implanting operation which is more flexible and easy. Syndrome-Trellis Codes (STC) are used to increase the safety of the system. STC divides the samples into various bins (binning) which is a public tool used for resolving many information-theoretic and also data-hiding problems. The planned method can be used in both spatial & transform domain. A proper distortion function is selected which makes statistical detection difficult. Once the stenographer specifies the distortion function, the planned framework provides all tools for constructing practical embedding schemes. The distortion method or the embedding operations need not be shared with the receiver.
Distortion Methods: The method referred to as matrix encoding needs the sender and recipient to agree in advance on a parity check matrix H. The cover medium is processed to extract an order of symbols ѵ, which is changed into s to embed the message m, s is sometimes called the stegodata, and alterations on s are translated on the cover-medium to obtain the stego-medium. The image is blurred before hiding the message copy using special point spread function and arbitrarily generated key. Successive LSB embedding in the R plane is done in this project. The quantity of rows and columns of the message image is encrypted in the first row of the cover copy. Before inserting, the original message image is blurred using the specific PSF. The parameters used for blurring with PSF are cast-off as keys during deblurring. The secret key values are directed through a secure channel (Tunneling). The secret image is enhanced using the two keys and a third key, which is arbitrarily generated and depends on the content of the hiding message.
Steganography hides the covert message but not the detail that two parties are communicating with each other. The steganography process usually involves placing a hidden communication in some transport medium, called the carrier. The secret message is entrenched in the carrier to form the steganography standard. The use of a steganography key may be working for encryption of the hidden message and/or for randomization in the steganography system.
