Threshold-based steganography: A novel technique for improved payload and SNR

dc.authorscopusid 57188803233
dc.authorscopusid 56499822800
dc.authorscopusid 57213518790
dc.authorscopusid 56081146500
dc.authorscopusid 57190303268
dc.authorscopusid 57224662253
dc.authorscopusid 57224662253
dc.contributor.author Khan,Z.
dc.contributor.author Shah,M.
dc.contributor.author Naeem,M.
dc.contributor.author Mahmood,T.
dc.contributor.author Khan,S.
dc.contributor.author Amin,N.U.
dc.contributor.author Shahzad,D.
dc.date.accessioned 2024-10-15T19:41:53Z
dc.date.available 2024-10-15T19:41:53Z
dc.date.issued 2016
dc.department Kadir Has University en_US
dc.department-temp Khan Z., Department of Information Technology, Hazara University Mansehra, Pakistan; Shah M., Department of Information Technology, Hazara University Mansehra, Pakistan; Naeem M., Department of Information Technology, Hazara University Mansehra, Pakistan; Mahmood T., Department of Computer Engineering, University of Engineering and Technology Taxila, Pakistan; Khan S., Department of Information Technology, Hazara University Mansehra, Pakistan; Amin N.U., Department of Information Technology, Hazara University Mansehra, Pakistan; Shahzad D., Department of Computer Engineering, Kadir Has University, Turkey en_US
dc.description.abstract Steganography is the art of hiding user information in various file types including image, audio and video. Security of steganography lies in imperceptibility of secret information in the cover image. Human Visual System (HVS) is not able to detect the changes in low color values of an image. To the best of our knowledge, none of the available steganographic techniques have exploited this weakness of HVS. In this paper, a new LSB technique is presented which hides information in the cover image taking into account the pixel value of color or grey level of every pixel. Our experiments show that the proposed technique has a high payload and low perceptibility of secret information hidden in the cover image as compared to the existing Least Significant Bit (LSB) based algorithms. We have used MATLAB for the implementation of proposed algorithm. © 2016, Zarka Private Univ. All rights reserved. en_US
dc.identifier.citationcount 20
dc.identifier.endpage 386 en_US
dc.identifier.issn 1683-3198
dc.identifier.issue 4 en_US
dc.identifier.scopus 2-s2.0-84979034948
dc.identifier.scopusquality Q2
dc.identifier.startpage 380 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/6480
dc.identifier.volume 13 en_US
dc.identifier.wosquality Q4
dc.language.iso en en_US
dc.publisher Zarka Private Univ en_US
dc.relation.ispartof International Arab Journal of Information Technology en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 20
dc.subject Cover image en_US
dc.subject Data hiding en_US
dc.subject HVS en_US
dc.subject LSB en_US
dc.subject Stego image en_US
dc.title Threshold-based steganography: A novel technique for improved payload and SNR en_US
dc.type Article en_US
dspace.entity.type Publication

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