Welcome to the InfoSci Platform
Reference Hub3
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

Zhe Chen, Jicang Lu, Pengfei Yang, Xiangyang Luo
Copyright: © 2017 |Volume: 9 |Issue: 4 |Pages: 14
ISSN: 1941-6210|EISSN: 1941-6229|EISBN13: 9781522512301|DOI: 10.4018/IJDCF.2017100105
Cite Article Cite Article

MLA

Chen, Zhe, et al. "Recognizing Substitution Steganography of Spatial Domain Based on the Characteristics of Pixels Correlation." IJDCF vol.9, no.4 2017: pp.48-61. http://doi.org/10.4018/IJDCF.2017100105

APA

Chen, Z., Lu, J., Yang, P., & Luo, X. (2017). Recognizing Substitution Steganography of Spatial Domain Based on the Characteristics of Pixels Correlation. International Journal of Digital Crime and Forensics (IJDCF), 9(4), 48-61. http://doi.org/10.4018/IJDCF.2017100105

Chicago

Chen, Zhe, et al. "Recognizing Substitution Steganography of Spatial Domain Based on the Characteristics of Pixels Correlation," International Journal of Digital Crime and Forensics (IJDCF) 9, no.4: 48-61. http://doi.org/10.4018/IJDCF.2017100105

Export Reference

Mendeley
Favorite Full-Issue Download

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.