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Audio Steganalysis Based on Independent Component Analysis

http://hdl.handle.net/20.500.12678/0000004475
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d21d85be-83c2-491c-b8d7-911c3df1aefa
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10048.pdf 10048.pdf (587 Kb)
Publication type
Article
Upload type
Publication
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
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