Image Stego Detection using Higher Order Statistics
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 adulte...
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Al-Nahrain Journal for Engineering Sciences
2010-03-01
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doaj-1756ca63ff9540658c73bb914c32d4a62021-02-02T18:06:30ZengAl-Nahrain Journal for Engineering Sciencesمجلة النهرين للعلوم الهندسية2521-91542521-91622010-03-01132591Image Stego Detection using Higher Order StatisticsAmmar Moufak J. Yousif0Mahir K. AL-a'zawi1Department of Electrical Engineering Al-Mustansirya UniversityDepartment of Electrical Engineering Al-Mustansirya University 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. https://nahje.com/index.php/main/article/view/591Steganography , CryptographySteganalytic . |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ammar Moufak J. Yousif Mahir K. AL-a'zawi |
spellingShingle |
Ammar Moufak J. Yousif Mahir K. AL-a'zawi Image Stego Detection using Higher Order Statistics مجلة النهرين للعلوم الهندسية Steganography , Cryptography Steganalytic . |
author_facet |
Ammar Moufak J. Yousif Mahir K. AL-a'zawi |
author_sort |
Ammar Moufak J. Yousif |
title |
Image Stego Detection using Higher Order Statistics |
title_short |
Image Stego Detection using Higher Order Statistics |
title_full |
Image Stego Detection using Higher Order Statistics |
title_fullStr |
Image Stego Detection using Higher Order Statistics |
title_full_unstemmed |
Image Stego Detection using Higher Order Statistics |
title_sort |
image stego detection using higher order statistics |
publisher |
Al-Nahrain Journal for Engineering Sciences |
series |
مجلة النهرين للعلوم الهندسية |
issn |
2521-9154 2521-9162 |
publishDate |
2010-03-01 |
description |
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.
|
topic |
Steganography , Cryptography Steganalytic . |
url |
https://nahje.com/index.php/main/article/view/591 |
work_keys_str_mv |
AT ammarmoufakjyousif imagestegodetectionusinghigherorderstatistics AT mahirkalazawi imagestegodetectionusinghigherorderstatistics |
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1724292335542468608 |