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Image Stego Detection using Higher Order Statistics | ||
| ALNAHRAIN JOURNAL FOR ENGINEERING SCIENCES | ||
| Article 1, Volume 13, Issue 2, 2010, Pages 141-149 | ||
| Authors | ||
| Prof. Mahir K. AL-a; ; Assistant Lecturer Ammar Moufak J. Yousif | ||
| 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. | ||
| Keywords | ||
| Steganography; Cryptography; Steganalytic | ||
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