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Open Access

Fast Carrier Selection of JPEG Steganography Appropriate for Application

Weixiang Ren, Yibo Xu, Liming Zhai, Lina Wang( ), Ju Jia
Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, Wuhan University, Wuhan 430000, China
School of Cyber Science and Engineering, Wuhan University, Wuhan 430000, China.
Micropattern Co. Ltd., Wuhan 430000, China.
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Abstract

In recent years, the improvement of the security of steganography mainly involves not only carrier security but also distortion function. In the actual environment, the existing method of carrier selection is limited by its complex algorithm and slow running speed, making it not appropriate for rapid communication. This study proposes a method for selecting carriers and improving the security of steganography. JPEG images are decompressed to spatial domain. Then correlation coefficients between two adjacent pixels in the horizontal, vertical, counter diagonal, and major diagonal directions are calculated. The mean value of the four correlation coefficients is used to evaluate the security of each JPEG image. The images with low correlation coefficients are considered safe carriers and used for embedding in our scheme. The experimental results indicate that the stego images generated from the selected carriers exhibit a higher anti-steganalysis capability than those generated from the randomly selected carriers. Under the premise of the same security level, the images with low correlation coefficients have a high capacity. Our algorithm has a very fast running speed, and the running time of a 2048×2048 image is less than 1 s.

Keywords

steganographysteganalysiscarrierJPEGcorrelation coefficients

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Tsinghua Science and Technology
Volume 25 Issue 5,
October 2020
Pages 614-624
DOI: 10.26599/TST.2019.9010069
Cite this article:
Ren W, Xu Y, Zhai L, et al. Fast Carrier Selection of JPEG Steganography Appropriate for Application. Tsinghua Science and Technology, 2020, 25(5): 614-624. https://doi.org/10.26599/TST.2019.9010069

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Received: 24 October 2019
Accepted: 13 November 2019
Published: 16 March 2020
© The author(s) 2020

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
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