Guest Editors
Prof. Chin-Chen Chang, Feng Chia University, Taiwan
Prof. Dan Feng, Huazhong University of Science and Technology, China
Prof. Yongfeng Huang, Tsinghua University, China
Summary
The development of the Internet, the popularity of the e-government and e-commerce pose new challenges to the secure storage, secure transmission and secure access of information. As a new technology to ensure information security, information hiding has attracted many scholars' interest and has become a research hotspot all over the world. This special issue aims to provide an academic platform for researchers in this field to exchange new ideas, new methods, and new technologies. Submissions on information hiding and related information security topics are welcomed. The excellent papers of 15th Chinese national Information Hiding and multimedia information security Workshop (CIHW2019) will be considered for inclusion in the Special Issue. All submitted papers will undergo the Journal's standard peer-review process. The official website of CIHW is http://www.cihw.org.cn
Topics of interests include, but are not limited to:
• Information hiding theory and model;
• Steganography and steganalysis;
• Digital watermarking and digital rights management (DRM);
• Digital watermarking technology and anti-counterfeiting;
• Unconventional carrier information hiding;
• Digital forensics;
• Software protection;
• Multimedia data retrieval and certification;
• Wireless communication security;
• Data transmission security;
• Information content security;
• Encrypted domain signal processing;
• Multimedia security in cloud computing;
• Big data security privacy protection;
• Cryptography.
Keywords
Information Hiding; Steganography; Steganalysis; Multimedia Security
Published Papers
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Open Access
ARTICLE
3D Multilayered Turtle Shell Models for Image Steganography
Ji-Hwei Horng, Juan Lin, Yanjun Liu, Chin-Chen Chang
Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 879-906, 2020, DOI:10.32604/cmes.2020.09355
（This article belongs to this Special Issue:
Information Hiding and Multimedia Security)
Abstract By embedding secret data into cover images, image steganography can
produce non-discriminable stego-images. The turtle shell model for data hiding is
an excellent method that uses a reference matrix to make a good balance between
image quality and embedding capacity. However, increasing the embedding capacity by extending the area of basic structures of the turtle shell model usually
leads to severe degradation of image quality. In this research, we innovatively
extend the basic structure of the turtle shell model into a three-dimensional
(3D) space. Some intrinsic properties of the original turtle shell model are well
preserved in the 3D version.…
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Open Access
ARTICLE
Multiple Images Steganography of JPEG Images Based on Optimal Payload Distribution
Yang Pei, Xiangyang Luo, Yi Zhang, Liyan Zhu
Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 417-436, 2020, DOI:10.32604/cmes.2020.010636
（This article belongs to this Special Issue:
Information Hiding and Multimedia Security)
Abstract Multiple images steganography refers to hiding secret messages in
multiple natural images to minimize the leakage of secret messages during
transmission. Currently, the main multiple images steganography algorithms
mainly distribute the payloads as sparsely as possible in multiple cover images
to improve the detection error rate of stego images. In order to enable the
payloads to be accurately and efficiently distributed in each cover image, this
paper proposes a multiple images steganography for JPEG images based on
optimal payload redistribution. Firstly, the algorithm uses the principle of
dynamic programming to redistribute the payloads of the cover images to
reduce the…
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Open Access
ARTICLE
Coverless Text Hiding Method Based on Improved Evaluation Index and One-Bit Embedding
Ning Wu, Yi Yang, Lian Li, Zhongliang Yang, Poli Shang, Weibo Ma, Zhenru Liu
Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1035-1048, 2020, DOI:10.32604/cmes.2020.010450
（This article belongs to this Special Issue:
Information Hiding and Multimedia Security)
Abstract In the field of information hiding, text is less redundant, which leads to
less space to hide information and challenging work for researchers. Based on the
Markov chain model, this paper proposes an improved evaluation index and onebit embedding coverless text steganography method. In the steganography process, this method did not simply take the transition probability as the optimization
basis of the steganography model, but combined it with the sentence length in the
corresponding nodes in the model to gauge sentence quality. Based on this, only
two optimal conjunctions of the current words are retained in the method to generate…
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Open Access
ARTICLE
Image Information Hiding Method Based on Image Compression and Deep Neural Network
Xintao Duan, Daidou Guo, Chuan Qin
Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 721-745, 2020, DOI:10.32604/cmes.2020.09463
（This article belongs to this Special Issue:
Information Hiding and Multimedia Security)
Abstract Image steganography is a technique that hides secret information into the cover
image to protect information security. The current image steganography is mainly to embed
a smaller secret image in an area such as a texture of a larger-sized cover image, which will
cause the size of the secret image to be much smaller than the cover image. Therefore, the
problem of small steganographic capacity needs to be solved urgently. This paper proposes
a steganography framework that combines image compression. In this framework, the Vector Quantized Variational AutoEncoder (VQ-VAE) is used to achieve the compression of
the secret image. The…
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Open Access
ARTICLE
Enhancing Embedding-Based Chinese Word Similarity Evaluation with Concepts and Synonyms Knowledge
Fulian Yin, Yanyan Wang, Jianbo Liu, Meiqi Ji
Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 747-764, 2020, DOI:10.32604/cmes.2020.010579
（This article belongs to this Special Issue:
Information Hiding and Multimedia Security)
Abstract Word similarity (WS) is a fundamental and critical task in natural language processing. Existing approaches to WS are mainly to calculate the similarity or relatedness of word pairs based on word embedding obtained by massive
and high-quality corpus. However, it may suffer from poor performance for insuf-
ficient corpus in some specific fields, and cannot capture rich semantic and sentimental information. To address these above problems, we propose an enhancing
embedding-based word similarity evaluation with character-word concepts and
synonyms knowledge, namely EWS-CS model, which can provide extra semantic
information to enhance word similarity evaluation. The core of our approach contains…
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Open Access
ARTICLE
Constructive Texture Steganography Based on Compression Mapping of Secret Messages
Fengyong Li, Zongliang Yu, Chuan Qin
Computer Modeling in Engineering & Sciences, Vol.124, No.1, pp. 393-410, 2020, DOI:10.32604/cmes.2020.09452
（This article belongs to this Special Issue:
Information Hiding and Multimedia Security)
Abstract This paper proposes a new constructive texture synthesis steganographic scheme
by compressing original secret messages. First, we divide the original message into multiple
bit blocks, which are transferred to decimal values and compressed into small decimal values
by recording their interval sign characters. Then, a candidate pattern is generated by
combining the given source pattern and boundary extension algorithm. Furthermore, we
segment the candidate pattern into multiple candidate patches and use affine transformation
algorithm to locate secret positions on a blank canvas, which are used to hide the sign
characters by mapping the candidate patches. Finally, we select the candidate…
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