Subscribe Now Subscribe Today
Science Alert
 
FOLLOW US:     Facebook     Twitter
Blue
   
Curve Top
Information Technology Journal
  Year: 2009 | Volume: 8 | Issue: 6 | Page No.: 811-820
DOI: 10.3923/itj.2009.811.820
Feature Selection for Image Steganalysis using Hybrid Genetic Algorithm
Zhihua Xia, Xingming Sun, Jiaohua Qin and Changming Niu

Abstract:
Learning-based methodology has been demonstrated to be an effective approach to dispose the steganalysis difficulties due to the variety of image texture. A crucial process of the learning-based steganalysis is to construct a low-dimensional feature set. In this study, a feature selection method based on Hybrid Genetic Algorithm (HGA) is presented to select feature subsets which not only contain fewer features, but also provide better detection performance for steganalysis. First, the general framework about utilizing Genetic Algorithm (GA) to do feature selection for steganalysis is presented. Then, we analyze similarity among individuals (SI) in each generation and the Transformation of Generations (TG) to determine whether the GA has converged into a local area. Next, according to the SI and TG, the restarting operation is incorporated into the HGA to allow the algorithm to escape from the unsatisfactory local area. In the experiments, three feature subsets are formed from a universal feature set for three typical steganography methods, respectively. The experimental results show that the classifiers using the feature subsets gain better detection accuracy and higher speed than those using the universal set.
PDF Fulltext XML References Citation Report Citation
 RELATED ARTICLES:
  •    High Performance Pixel indicator For Colour Image Steganography
  •    Cover as Key and Key as Data: An Inborn Stego
  •    Random Image Steganography using Pixel Indicator to Enhance Hiding Capacity
  •    Random Image Steganography using Pixel Indicator to Enhance Hiding Capacity
How to cite this article:

Zhihua Xia, Xingming Sun, Jiaohua Qin and Changming Niu, 2009. Feature Selection for Image Steganalysis using Hybrid Genetic Algorithm. Information Technology Journal, 8: 811-820.

DOI: 10.3923/itj.2009.811.820

URL: https://scialert.net/abstract/?doi=itj.2009.811.820

 
COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 

       

       

Curve Bottom