A survey on digital image steganography and steganalysis

Abstract

With the rapid development of modern computer technology and network communication technology, information security has attracted more and more attention. As two important branches of information security, steganography and steganalysis have experienced more than ten years of development. Steganography and steganalysis play an important role in areas of business, intelligence, national security and so on. This thesis, mainly focuses on improve steganography and steganalysis as a pixel block based adaptive steganography algorithm and multi-resolution decomposition for image steganalysis. First, Classical LSB (least significant bit) matching steganography embeds message in a single pixel, not considering the texture distribution of natural image. The texture regions of natural images take on complex structural features. Compared with flat regions, image textures exhibit more randomness in structure. As a result, embedding secret messages in high textures would be more secure