Scopus
🔓 Açık Erişim YÖKSİS DOI Eşleşti
SJR Q2
Compensation of degradation, security, and capacity of lsb substitution methods by a new proposed hybrid n-lsb approach
Computer Science and Information Systems · Eylül 2021
Özet
This study proposes a new hybrid n-LSB (Least Significant Bit) substitution-based image steganography method in the spatial plane. The previously proposed n-LSB substitution method by authors of this paper is combined with the Rivest-Shamir-Adleman (RSA), RC5, and Data Encryption Standard (DES) encryption algorithms to improve the security of the steganography, which is one of the requirements of steganography, and the Lempel-Ziv-Welch (LZW), Arithmetic and Deflate lossless compression algorithms to increase the secret message capacity. Also, embedding was done randomly using a logistic map-based chaos generator to increase the security more. The classical n-LSB substitution method and the proposed hybrid approaches based on the previously proposed n-LSB were implemented using different secret messages and cover images. When the results were examined, it has been seen that the proposed hybrid n-LSB approach showed improvement in all three criteria of steganography. The proposed hybrid approach that consists of previously proposed n-LSB, RSA, Deflate, and the logistic map had the best results regarding capacity, security, and imperceptibility.
YÖKSİS Kayıtları
Compensation of degradation, security, and capacity of LSB substitution methods by a new proposed hybrid n-LSB approach
Computer Science and Information Systems · 2021 SCI-Expanded
Doç. Dr. KEMAL TÜTÜNCÜ →
Compensation of degradation, security, and capacity of LSB substitution methods by a new proposed hybrid n-LSB approach
Computer Science and Information Systems · 2021 SCI-Expanded
Dr. Öğr. Üyesi ÖZCAN ÇATALTAŞ →
Makale Bilgileri
Toplam Atıf
2 atıf
· Scopus
ISSN18200214
Yayın TarihiEylül 2021
Cilt / Sayfa18 · 1311-1332
Scopus ID2-s2.0-85118937848
Erişim🔓 Açık Erişim
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
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Scimago Dergi (ISSN Eşleşmesi)
Computer Science and Information Systems
Q2
OA
SJR Skoru0,363
H-Index35
YayıncıComSIS Consortium
ÜlkeSerbia
Computer Science (miscellaneous) (Q2)
Metrikler
2
Atıf