Steg Analysis Algorithm for Edge Adaptive Least Significant Bit Matching Revisited Detection

Spatial domain Steganalysis technology based on digital grayscale images has drawn a lot of interest in recent years. Edge Adaptive Least significant bit Matching Revisited(EALMR) steganography algorithm is high safety spatial domain information hiding technique which can choose embedding area base...

Full description

Bibliographic Details
Main Authors:	Edris, Khalid Edris, Fakhreldin, Mohammed Adam Ibrahim, Jasni, Mohamad Zain, Tuty Asmawaty, Abdul Kadir
Format:	Article
Language:	English English
Published:	AENSI Publishing 2014
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/7275/ http://umpir.ump.edu.my/id/eprint/7275/ http://umpir.ump.edu.my/id/eprint/7275/1/Steganalysis_Algorithm_to_Detect_Edge_Adaptive_Least_Significant_Bit_Matching_Revisited.pdf http://umpir.ump.edu.my/id/eprint/7275/4/fskkp-2014-jasni-steg%20analysis%20algorithm.pdf

id	ump-7275
recordtype	eprints
spelling	ump-72752018-04-25T03:29:43Z http://umpir.ump.edu.my/id/eprint/7275/ Steg Analysis Algorithm for Edge Adaptive Least Significant Bit Matching Revisited Detection Edris, Khalid Edris Fakhreldin, Mohammed Adam Ibrahim Jasni, Mohamad Zain Tuty Asmawaty, Abdul Kadir QA76 Computer software Spatial domain Steganalysis technology based on digital grayscale images has drawn a lot of interest in recent years. Edge Adaptive Least significant bit Matching Revisited(EALMR) steganography algorithm is high safety spatial domain information hiding technique which can choose embedding area based on the image context. In this paper, we propose Edge Adaptive Steganalysis algorithm based on histograms of the absolute difference of adjacent pixels to detect EALMR. The performance of the proposed steganalysis algorithm is evaluated and compared with five steganalysis algorithms. The results show that the proposed analytical algorithm based on histogram of absolute difference of adjacent pixels can effectively detect EALMR. AENSI Publishing 2014 Article NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7275/1/Steganalysis_Algorithm_to_Detect_Edge_Adaptive_Least_Significant_Bit_Matching_Revisited.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/7275/4/fskkp-2014-jasni-steg%20analysis%20algorithm.pdf Edris, Khalid Edris and Fakhreldin, Mohammed Adam Ibrahim and Jasni, Mohamad Zain and Tuty Asmawaty, Abdul Kadir (2014) Steg Analysis Algorithm for Edge Adaptive Least Significant Bit Matching Revisited Detection. Australian Journal of Basic and Applied Sciences, 8 (18). pp. 617-628. ISSN 1991-8178 (In Press) http://ajbasweb.com/old/ajbas/2014/December/617-628.pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Edris, Khalid Edris Fakhreldin, Mohammed Adam Ibrahim Jasni, Mohamad Zain Tuty Asmawaty, Abdul Kadir Steg Analysis Algorithm for Edge Adaptive Least Significant Bit Matching Revisited Detection
description	Spatial domain Steganalysis technology based on digital grayscale images has drawn a lot of interest in recent years. Edge Adaptive Least significant bit Matching Revisited(EALMR) steganography algorithm is high safety spatial domain information hiding technique which can choose embedding area based on the image context. In this paper, we propose Edge Adaptive Steganalysis algorithm based on histograms of the absolute difference of adjacent pixels to detect EALMR. The performance of the proposed steganalysis algorithm is evaluated and compared with five steganalysis algorithms. The results show that the proposed analytical algorithm based on histogram of absolute difference of adjacent pixels can effectively detect EALMR.
format	Article
author	Edris, Khalid Edris Fakhreldin, Mohammed Adam Ibrahim Jasni, Mohamad Zain Tuty Asmawaty, Abdul Kadir
author_facet	Edris, Khalid Edris Fakhreldin, Mohammed Adam Ibrahim Jasni, Mohamad Zain Tuty Asmawaty, Abdul Kadir
author_sort	Edris, Khalid Edris
title	Steg Analysis Algorithm for Edge Adaptive Least Significant Bit Matching Revisited Detection
title_short	Steg Analysis Algorithm for Edge Adaptive Least Significant Bit Matching Revisited Detection
title_full	Steg Analysis Algorithm for Edge Adaptive Least Significant Bit Matching Revisited Detection
title_fullStr	Steg Analysis Algorithm for Edge Adaptive Least Significant Bit Matching Revisited Detection
title_full_unstemmed	Steg Analysis Algorithm for Edge Adaptive Least Significant Bit Matching Revisited Detection
title_sort	steg analysis algorithm for edge adaptive least significant bit matching revisited detection
publisher	AENSI Publishing
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/7275/ http://umpir.ump.edu.my/id/eprint/7275/ http://umpir.ump.edu.my/id/eprint/7275/1/Steganalysis_Algorithm_to_Detect_Edge_Adaptive_Least_Significant_Bit_Matching_Revisited.pdf http://umpir.ump.edu.my/id/eprint/7275/4/fskkp-2014-jasni-steg%20analysis%20algorithm.pdf
first_indexed	2023-09-18T22:03:51Z
last_indexed	2023-09-18T22:03:51Z
_version_	1777414577054547968

Steg Analysis Algorithm for Edge Adaptive Least Significant Bit Matching Revisited Detection

Similar Items