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

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 / Online First) (In Press / Online First)

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Abstract

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.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Faculty/Division:	Faculty of Computer System And Software Engineering
Depositing User:	Dr. Mohammed Adam Ibrahim Fakreldin
Date Deposited:	19 Dec 2014 03:36
Last Modified:	25 Apr 2018 03:29
URI:	http://umpir.ump.edu.my/id/eprint/7275
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