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Adaptive LSB Steganography Based on Chaos Theory and Random Distortion
Advances in Electrical and Computer Engineering 2018 Cilt 18 Sayı 3
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17
Atıf
18
Cilt
15-22
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Açık Erişim
Özet
Image 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.
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18
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Article
Belge Türü
Kaynak: ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING · s. 15-22
Anahtar Kelimeler (WoS)

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Anahtar Kelimeler

WoS | Bir kelimeye tıklayıp ilgili kaynaktaki yayınları görün.

Makale Bilgileri

Dergi Advances in Electrical and Computer Engineering
ISSN 1582-7445
Yıl 2018 / 1. ay
Cilt / Sayı 18 / 3
Sayfalar 15 – 22
Makale Türü Özgün Makale
Hakemlik Hakemli
Endeks SCI-Expanded
Teşvik Puanı 5,76 · YÖKSİS Akademik Teşvik
Yayın Dili İngilizce
Kapsam Uluslararası
Toplam Yazar 2 kişi
Erişim Türü Elektronik
Alan Mühendislik Temel Alanı- Elektrik-Elektronik Mühendisliği

YÖKSİS Yazar Kaydı

Yazar Adı TÜTÜNCÜ KEMAL,Demirci Barış
YÖKSİS ID 3225734

Metrikler

Scopus Atıf 17
Havuz Atıfları 0
Teşvik Puanı 5,76
Yazar Sayısı 2