Adaptive LSB Steganography Based on Chaos Theory and Random Distortion

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dc.contributor.authorTutuncu, Kemal
dc.contributor.authorDemirci, Baris
dc.date.accessioned2020-03-26T19:52:49Z
dc.date.available2020-03-26T19:52:49Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractImage steganography is a technique to hide secret information in an image without leaving any apparent evidence of image alteration. Hiding capacity, perceptual transparency, robustness, and resistance against attack must be considered as characteristics of the image steganography algorithms. In this study, Improved Chaos Based Bit Embedding has been proposed as a new steganography algorithm. It is based on two basic principles. One of them is determining the bits in which the secret data will be embedded by logistic map and the other one is embedding the secret data into only one of the three color channels that is chosen randomly. It distorts the other remaining channels so that it is harder to obtain the text within the image by an unwanted person. The proposed algorithm has been tested on 10 sample images along with the four basic steganography algorithms: Least Significant Bit Embedding Pseudo Random Least Significant Bit Embedding, EzStego, and F5. It has been seen that generating unpredictable indexes by the chaotic random number generators, and embedding the secret data into only one of the three channels (distorting remaining channels) increased resistance against attacks. Perceptual transparencies and capacity ratio of the proposed algorithm are compatible with the other four algorithms.en_US
dc.identifier.doi10.4316/AECE.2018.03003en_US
dc.identifier.endpage22en_US
dc.identifier.issn1582-7445en_US
dc.identifier.issn1844-7600en_US
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage15en_US
dc.identifier.urihttps://dx.doi.org/10.4316/AECE.2018.03003
dc.identifier.urihttps://hdl.handle.net/20.500.12395/36300
dc.identifier.volume18en_US
dc.identifier.wosWOS:000442420900003en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherUNIV SUCEAVA, FAC ELECTRICAL ENGen_US
dc.relation.ispartofADVANCES IN ELECTRICAL AND COMPUTER ENGINEERINGen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectciphersen_US
dc.subjectchaosen_US
dc.subjectdata encapsulationen_US
dc.subjectdata securityen_US
dc.subjectdigital imagesen_US
dc.titleAdaptive LSB Steganography Based on Chaos Theory and Random Distortionen_US
dc.typeArticleen_US

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