Scopus
🔓 Açık Erişim YÖKSİS Eşleşti
Adaptive LSB steganography based on chaos theory and random distortion
Advances in Electrical and Computer Engineering · Ağustos 2018
YÖKSİS Kayıtları
Adaptive LSB Steganography Based on Chaos Theory and Random Distortion
Advances in Electrical and Computer Engineering · 2018 SCI-Expanded
DOÇENT KEMAL TÜTÜNCÜ →
Makale Bilgileri
DergiAdvances in Electrical and Computer Engineering
Yayın TarihiAğustos 2018
Cilt / Sayfa18 · 15-22
Scopus ID2-s2.0-85052105181
Erişim🔓 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.
Yazarlar (2)
1
Kemal Tutuncu
2
Baris Demirci
Anahtar Kelimeler
Chaos
Ciphers
Data encapsulation
Data security
Digital images
Kurumlar
Bahçelievler Türk Telekom Mesleki ve Teknik Anadolu Lisesi
Bahcelievler Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
15
Atıf
2
Yazar
5
Anahtar Kelime