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Audio Steganalysis Based on Independent Component Analysis
http://hdl.handle.net/20.500.12678/0000004475
http://hdl.handle.net/20.500.12678/0000004475044f4cca-b744-4a9f-9c0a-5998607fd7b2
d21d85be-83c2-491c-b8d7-911c3df1aefa
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Article | ||||||
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Title | ||||||
Title | Audio Steganalysis Based on Independent Component Analysis | |||||
Language | en_US | |||||
Publication date | 2012-02-28 | |||||
Authors | ||||||
Tint, Yawai | ||||||
Mya, Khin Than | ||||||
Description | ||||||
Steganalysis is the art and science ofdetecting messages hidden using steganography.This paper proposes steganalysis of audio signalusing Independent Component Analysis. Adetection method is used for detecting hiddenmessage in compressed audio files produced byMP3Stego. Steganography can be successfullydetected during the Principle ComponentAnalysis (PCA) whitening stage. A nonlinearrobust batch ICA algorithm, which is able toefficiently extract various temporally correlatedsources from their observed linear mixture areused for blind steganography extraction. | ||||||
Keywords | ||||||
MP3Stego, Principle Component Analysis (PCA), Independent Component Analysis (ICA) | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/2404 | |||||
Journal articles | ||||||
Tenth International Conference On Computer Applications (ICCA 2012) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |