IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Recognizing Substitution Steganography of Spatial Domain Based on the Characteristics of Pixels Correlation

Recognizing Substitution Steganography of Spatial Domain Based on the Characteristics of Pixels Correlation
View Sample PDF
Author(s): Zhe Chen (University of Electronic Science and Technology of China, Chengdu, China), Jicang Lu (Zhengzhou Information Science and Technology Institute, Zhengzhou, China), Pengfei Yang (Zhengzhou Information Science and Technology Institute, Zhengzhou, China) and Xiangyang Luo (Zhengzhou Information Science and Technology Institute, Zhengzhou, China)
Copyright: 2017
Volume: 9
Issue: 4
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.2017100105

Purchase

View Recognizing Substitution Steganography of Spatial Domain Based on the Characteristics of Pixels Correlation on the publisher's website for pricing and purchasing information.

Abstract

Steganographic algorithm recognition is currently a key issue in digital image steganalysis. For the typical substitution steganographic algorithm in spatial domain, we analyze the modification way and construct the feature extraction source based on the adjacent pixels correlation; extract the special statistical feature which could distinguish the substitution steganography from other types of steganographic algorithms. Finally, a substitution steganography recognition algorithm is presented and tested by experiments. The experimental results show that, the proposed algorithm could recognize the substitution steganography in spatial domain efficiently, and the detection accuracy is better than existing algorithms.

Related Content

Khalifa Al-Room, Farkhund Iqbal, Thar Baker, Babar Shah, Benjamin Yankson, Aine MacDermott, Patrick C. K. Hung. © 2021. 25 pages.
Jyotismita Chaki, Nilanjan Dey. © 2021. 22 pages.
Sumit Kumar Yadav, Kavita Sharma, Ananya Gupta. © 2021. 17 pages.
Ajay Kumar Sahu, Ashish Kumar. © 2021. 14 pages.
Ruchi Mittal, M. P. S. Bhatia. © 2021. 15 pages.
Daniel M. Eveleth, Lori Baker-Eveleth, Norman M. Pendegraft, Mark M. Rounds. © 2021. 15 pages.
Henry Chima Ukwuoma. © 2021. 12 pages.
Body Bottom