Improvements of Steganography Parameter in Binary Images and JPEG Images against Steganalysis.

Steganography is a science of hiding messages into multimedia documents. A message can be hidden in a document only if the content of a document has high redundancy. Although the embedded message changes the characteristics and nature of the document, it is required that these changes are difficult to be identified by an unsuspecting user. On the other hand, steganalysis develops theories, methods and techniques that can be used to detect hidden messages in multimedia documents. The documents without any hidden messages are called cover documents and the documents with hidden messages are named stego documents. The work of this research paper concentrates on image steganalysis. We present four different types of steganalysis techniques. These steganalysis techniques are developed to counteract the steganographic methods that use binary (black and white) images as the cover media. Unlike grayscale and color images, binary images have a rather modest statistical nature. This makes it difficult to apply directly the existing steganalysis on binary images.