Constructing Immune Cover for Secure Steganography Based on an Artificial Immune System Approach

摘要

Artificial Immune Systems (AIS) are a class of computationally intelligent systems inspired by the principles and processes of the Biological Immune System (BIS), and has been applied to many fields successfully by exploit its characteristics of self-learning and self-organizing. In this paper, we open a new field for applications of AIS, namely, immune cover construction for steganography application. We proposed an AlS-based steganography framework to improve the security of steganography by constructing immune cover image in spatial domain. Texture complexity is a major factor in resisting ste-ganalysis in images, so the proposed framework is designed by immune processing to adaptively accentuate the texture region as well as maintain the original characteristics of images, and then obtain more suitable and secure immune cover image for steganography. This approach allows to construct more setganalysis-secure data embedding using standard steganography algorithms. Compared with state-of-the-art methods, the proposed method has an improved ability to resist steganalysis.