Earticle

초록

영어

HUGO is the content-based adaptive steganography method for spatial images which can approximately preserve the joint statistic of differences between up to four neighboring pixels in four different directions. But the steganalysis method based on the higher order local model can fail HUGO. In view of the above problem, an improved steganography is proposed. Firstly, by analyzing the higher order local model, the distortion function is defined based on the quantitative MINMAX features. Then, combined with the theoretical framework of the Gibbs construction in steganography, the improved image steganography algorithm is proposed. The experimental results show that the proposed algorithm can not only resist the detection of the steganalysis method based on the quantitative MINMAX features , but also resist the detection of the steganalysis method based on the hybrid quantitative MINMAX features.

목차

Abstract
 1. Introduction
 2. Proposed Image Hiding Scheme
  2.1. The HOLMES Strategy
  2.2. Improved Embedding Distortion Function
  2.3. Improved Steganography Algorithm
 3. Experiments
  3.1. Initialization of Parameters
  3.2. Comparison of Stego Image Quality
  3.3. Classification Results based on Different Features
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Hao Huang [ Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Wuxi, 214122, China. ] Corresponding author
• Zhiping Zhou [ Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Wuxi, 214122, China. ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605