The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Secure Steganography in JPEG Images Based on Histogram Modification and Hyper Chaotic System
|
Author(s): Shun Zhang (College of Software, Nankai University, Tianjin, China), Liang Yang (College of Software, Nankai University, Tianjin, China), Xihao Xu (College of Software, Nankai University, Tianjin, China)and Tiegang Gao (College of Software, Nankai University, Tianjin, China)
Copyright: 2018
Volume: 10
Issue: 1
Pages: 14
Source title:
International Journal of Digital Crime and Forensics (IJDCF)
Editor(s)-in-Chief: Feng Liu (Chinese Academy of Sciences, China)
DOI: 10.4018/IJDCF.2018010104
Purchase
|
Abstract
Security always plays an important role in the communication. Steganography, which conceals the process of communication, is another efficient way to achieve secure communication besides encryption. This paper proposes a secure steganography scheme in JPEG images with high embedding capacity and low distortion to the cover image. It embeds the additional information by modifying the DCT coefficients in JPEG images. Considering the size of the additional information, some DCT coefficients are adaptively selected in the embedding process. Two chaotic encryption strategies are designed based on the hyper-chaotic system to encrypt the additional information before the embedding to enhance the security. Extensive experiments have demonstrated the validity and efficiency of this proposed scheme. Compared with some existing schemes, it offers larger embedding rate and lower distortion with stronger security.
Related Content
Shakir A. Mehdiyev, Tahmasib Kh. Fataliyev.
© 2024.
17 pages.
|
Fuhai Jia, Yanru Jia, Jing Li, Zhenghui Liu.
© 2024.
13 pages.
|
Dawei Zhang.
© 2024.
16 pages.
|
Yuwen Zhu, Lei Yu.
© 2023.
16 pages.
|
Vijay Kumar, Sahil Sharma, Chandan Kumar, Aditya Kumar Sahu.
© 2023.
14 pages.
|
Wenjun Yao, Ying Jiang, Yang Yang.
© 2023.
20 pages.
|
Dawei Zhang.
© 2023.
14 pages.
|
|
|