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Security and Communication Networks
Volume 2018, Article ID 6256872, 8 pages
https://doi.org/10.1155/2018/6256872
Research Article

A Modification-Free Steganography Method Based on Image Information Entropy

1School of Electronic Information, Wuhan University, Wuhan, China
2College of Physical Science and Technology, Huazhong Normal University, Wuhan, China

Correspondence should be addressed to Jianbin Wu; nc.ude.uncc.liam@nibnaijuw

Received 29 September 2017; Revised 4 December 2017; Accepted 6 February 2018; Published 26 March 2018

Academic Editor: Zhenxing Qian

Copyright © 2018 Xia ShuangKui and Jianbin Wu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In order to improve the security and robustness of the Information Steganography Algorithm under strictly controlled environment, a new algorithm of modification-free steganography based on image and big data is introduced in this paper. In the proposed algorithm, a mapping relationship between the hot image entropy and the secret information is constructed and the payload information is expressed by the mapping relation. At the same time, turbo code is introduced in order to improve robustness, the hot image comes from Internet image big data, and the library of hot image is established. The performance of the proposed algorithm is analyzed using simulation experiment. Because of its none-modifying on carrier image, the results of experiment show that the proposed algorithm can achieve good performance in robustness analysis, dimension scaling attack, and rotation attack. In particular, in the test of dimension scaling attack and the rotation attack, the rate of data recovering can be over 95%. The proposed algorithm can be very valuable in the covert communication which requires high security and low volume, for example, the key exchange of symmetric encryption system.