Image Stego Detection using Higher Order Statistics

  • Ammar Moufak J. Yousif Department of Electrical Engineering Al-Mustansirya University
  • Mahir K. AL-a'zawi Department of Electrical Engineering Al-Mustansirya University
Keywords: Steganography , Cryptography, Steganalytic .

Abstract

The basic approach taken here works by finding predictable higher-order statistics of natural images within a multi-scale decomposition, and then showing that

embedded messages alter these statistics. A Fisher linear discriminant analysis is then used to discriminate between untouched and adulterated images. Detection system suggested here is used to detect seven systems these are: hiding in LSB, hiding in palette, hiding in DCT simple level security, and

hiding in wavelet simple level security. In addition, highly-secret systems were constructed, i.e. systems that integrate Cryptography with Steganography in both

domains, DCT and Wavelet. Moreover, system of hiding in multiwavelet was used with cryptography.

Published
2010-03-24
How to Cite
Yousif, A., & AL-a’zawi, M. (2010). Image Stego Detection using Higher Order Statistics. Al-Nahrain Journal for Engineering Sciences, 13(2), 141-149. Retrieved from https://nahje.com/index.php/main/article/view/591