PSW statistical LSB image steganalysis

Steganography is the art and science of producing covert communications by concealing secret messages in apparently innocent media, while steganalysis is the art and science of detecting the existence of these. This manuscript proposes a novel blind statistical steganalysis technique to detect Least...

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Main Authors:	Shojae Chaeikar, Saman, Zamani, Mazdak, Abdul Manaf, Azizah, Zeki, Akram M.
Format:	Article
Language:	English English
Published:	Springer New York LLC 2017
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/62992/ http://irep.iium.edu.my/62992/ http://irep.iium.edu.my/62992/ http://irep.iium.edu.my/62992/19/62992_PSW%20statistical%20LSB%20image%20steganalysis_article.pdf http://irep.iium.edu.my/62992/8/62992_PSW%20statistical%20LSB%20image%20steganalysis_scopus.pdf

id	iium-62992
recordtype	eprints
spelling	iium-629922019-07-12T08:42:53Z http://irep.iium.edu.my/62992/ PSW statistical LSB image steganalysis Shojae Chaeikar, Saman Zamani, Mazdak Abdul Manaf, Azizah Zeki, Akram M. T Technology (General) Steganography is the art and science of producing covert communications by concealing secret messages in apparently innocent media, while steganalysis is the art and science of detecting the existence of these. This manuscript proposes a novel blind statistical steganalysis technique to detect Least Significant Bit (LSB) flipping image steganography. It shows that the technique has a number of major advantages. First, a novel method of pixel color correlativity analysis in Pixel Similarity Weight (PSW). Second, filtering out image pixels according to their statistically detected suspiciousness, thereby excluding neutral pixels from the steganalysis process. Third, ranking suspicious pixels according to their statistically detected suspiciousness and determining the influence of such pixels based on the level of detected anomalies. Fourth, the capability to classify and analyze pixels in three pixel classes of flat, smooth and edgy, thereby enhancing the sensitivity of the steganalysis. Fifth, achieving an extremely high efficiency level of 98.049% in detecting 0.25bpp stego images with only a single dimension analysis. Springer New York LLC 2017-01-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/62992/19/62992_PSW%20statistical%20LSB%20image%20steganalysis_article.pdf application/pdf en http://irep.iium.edu.my/62992/8/62992_PSW%20statistical%20LSB%20image%20steganalysis_scopus.pdf Shojae Chaeikar, Saman and Zamani, Mazdak and Abdul Manaf, Azizah and Zeki, Akram M. (2017) PSW statistical LSB image steganalysis. Multimedia Tools and Applications, 77 (1). pp. 805-835. ISSN 1380-7501 E-ISSN 1573-7721 https://srv2.freepaper.me/n/_eHfQjpkHelC2u-rnm8IoA/PDF/52/5289c9e1b0bbe31dca4edd53a138bf55.pdf 10.1007/s11042-016-4273-6
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T Technology (General)
spellingShingle	T Technology (General) Shojae Chaeikar, Saman Zamani, Mazdak Abdul Manaf, Azizah Zeki, Akram M. PSW statistical LSB image steganalysis
description	Steganography is the art and science of producing covert communications by concealing secret messages in apparently innocent media, while steganalysis is the art and science of detecting the existence of these. This manuscript proposes a novel blind statistical steganalysis technique to detect Least Significant Bit (LSB) flipping image steganography. It shows that the technique has a number of major advantages. First, a novel method of pixel color correlativity analysis in Pixel Similarity Weight (PSW). Second, filtering out image pixels according to their statistically detected suspiciousness, thereby excluding neutral pixels from the steganalysis process. Third, ranking suspicious pixels according to their statistically detected suspiciousness and determining the influence of such pixels based on the level of detected anomalies. Fourth, the capability to classify and analyze pixels in three pixel classes of flat, smooth and edgy, thereby enhancing the sensitivity of the steganalysis. Fifth, achieving an extremely high efficiency level of 98.049% in detecting 0.25bpp stego images with only a single dimension analysis.
format	Article
author	Shojae Chaeikar, Saman Zamani, Mazdak Abdul Manaf, Azizah Zeki, Akram M.
author_facet	Shojae Chaeikar, Saman Zamani, Mazdak Abdul Manaf, Azizah Zeki, Akram M.
author_sort	Shojae Chaeikar, Saman
title	PSW statistical LSB image steganalysis
title_short	PSW statistical LSB image steganalysis
title_full	PSW statistical LSB image steganalysis
title_fullStr	PSW statistical LSB image steganalysis
title_full_unstemmed	PSW statistical LSB image steganalysis
title_sort	psw statistical lsb image steganalysis
publisher	Springer New York LLC
publishDate	2017
url	http://irep.iium.edu.my/62992/ http://irep.iium.edu.my/62992/ http://irep.iium.edu.my/62992/ http://irep.iium.edu.my/62992/19/62992_PSW%20statistical%20LSB%20image%20steganalysis_article.pdf http://irep.iium.edu.my/62992/8/62992_PSW%20statistical%20LSB%20image%20steganalysis_scopus.pdf
first_indexed	2023-09-18T21:29:17Z
last_indexed	2023-09-18T21:29:17Z
_version_	1777412402183143424

PSW statistical LSB image steganalysis

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