Digital steganography based on genetic algorithm
Document Type
Syllabus
Publication Date
12-1-2009
Abstract
Steganography is the art of hiding secret data inside other innocent media file. Steganalysis is the process of detecting hidden data which are crested using steganography. Steganalysis detects stego-images by analyzing various image features between stego-images and cover-images. Therefore, we need to have a system that develops more critical stego-images from which steganalysis cannot detect them. In this chapter, we present a Genetic algorithm-(GA) based method for breaking steganalytic systems. The emphasis is shifted from traditionally avoiding the change of statistic features to artificially counterfeiting the statistic features. Our idea is based on the following: in order to manipulate the statistic features for breaking the inspection of steganalytic systems, the GA-based approach is adopted to counterfeit several stego-images (candidates) until one of them can break the inspection of steganalytic systems. © 2009, IGI Global.
Identifier
84898369881 (Scopus)
ISBN
[9781605662626]
Publication Title
Handbook of Research on Secure Multimedia Distribution
External Full Text Location
https://doi.org/10.4018/978-1-60566-262-6.ch023
First Page
439
Last Page
453
Recommended Citation
Shih, Frank Y. and Wu, Yi Ta, "Digital steganography based on genetic algorithm" (2009). Faculty Publications. 11720.
https://digitalcommons.njit.edu/fac_pubs/11720
