Ji-Hwei Horng¹, Juan Lin^2,*, Yanjun Liu³, Chin-Chen Chang^3,4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 879-906, 2020, DOI:10.32604/cmes.2020.09355

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.… More >

Yang Pei^1,2, Xiangyang Luo^1,2,*, Yi Zhang², Liyan Zhu²

CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 417-436, 2020, DOI:10.32604/cmes.2020.010636

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… More >

Yan Wang^*, Zhangjie Fu, Xingming Sun

Journal of Cyber Security, Vol.2, No.3, pp. 115-121, 2020, DOI:10.32604/jcs.2020.012275

Abstract Nowadays, with the popularization of network technology, more and more people are concerned about the problem of cyber security. Steganography, a technique dedicated to protecting peoples’ private data, has become a hot topic in the research field. However, there are still some problems in the current research. For example, the visual quality of dense images generated by some steganographic algorithms is not good enough; the security of the steganographic algorithm is not high enough, which makes it easy to be attacked by others. In this paper, we propose a novel high visual quality image steganographic neural network based on encoder-decoder… More >

Resul Das^1,∗, Muhammet Baykara¹, Gurkan Tuna²

Computer Systems Science and Engineering, Vol.34, No.1, pp. 23-32, 2019, DOI:10.32604/csse.2019.34.023

Abstract One of the most well-known and used algorithms for Steganography is Least Significant Bit (LSB) substitution. Although LSB has several advantages such as simplicity, efficiency, and easy-to-do implementation, it has some distinct disadvantages such as it openness to miscellaneous attacks. In this study, we aim to improve the traditional LSB algorithm by eliminating its main disadvantage, being easy to detect, and this way propose an enhanced LSB algorithm called E-LSB. We mainly aim to minimize differences which are due to encryption and image hiding steps in LSB algorithm and make it more difficult to notice that some text has been… More >

Ning Wu^1,2, Yi Yang^1,*, Lian Li¹, Zhongliang Yang³, Poli Shang⁴, Weibo Ma⁵, Zhenru Liu⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1035-1048, 2020, DOI:10.32604/cmes.2020.010450

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… More >

Xintao Duan^{1, *}, Daidou Guo¹, Chuan Qin²

CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 721-745, 2020, DOI:10.32604/cmes.2020.09463

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… More >

Yun Tan¹, Jiaohua Qin^{1, *}, Hao Tang², Xuyu Xiang¹, Ling Tan², Neal N. Xiong³

CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1797-1817, 2020, DOI:10.32604/cmc.2020.010802

Abstract With the development of the internet of medical things (IoMT), the privacy protection problem has become more and more critical. In this paper, we propose a privacy protection scheme for medical images based on DenseNet and coverless steganography. For a given group of medical images of one patient, DenseNet is used to regroup the images based on feature similarity comparison. Then the mapping indexes can be constructed based on LBP feature and hash generation. After mapping the privacy information with the hash sequences, the corresponding mapped indexes of secret information will be packed together with the medical images group and… More >

Fengyong Li^{1, *}, Zongliang Yu¹, Chuan Qin²

CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.1, pp. 393-410, 2020, DOI:10.32604/cmes.2020.09452

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… More >

Yuanjing Luo¹, Jiaohua Qin^{1, *}, Xuyu Xiang¹, Yun Tan¹, Zhibin He¹, Neal N. Xiong²

CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1281-1295, 2020, DOI:10.32604/cmc.2020.010867

Abstract To resist the risk of the stego-image being maliciously altered during transmission, we propose a coverless image steganography method based on image segmentation. Most existing coverless steganography methods are based on whole feature mapping, which has poor robustness when facing geometric attacks, because the contents in the image are easy to lost. To solve this problem, we use ResNet to extract semantic features, and segment the object areas from the image through Mask RCNN for information hiding. These selected object areas have ethical structural integrity and are not located in the visual center of the image, reducing the information loss… More >

Shahid Rahman¹, Fahad Masood², Wajid Ullah Khan², Niamat Ullah¹, Fazal Qudus Khan³, Georgios Tsaramirsis³, Sadeeq Jan^{4, *}, Majid Ashraf⁵

CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 31-61, 2020, DOI:10.32604/cmc.2020.09186

Abstract Steganography aims to hide the messages from unauthorized persons for various purposes, e.g., military correspondence, financial transaction data. Securing the data during transmission is of utmost importance these days. The confidentiality, integrity, and availability of the data are at risk because of the emerging technologies and complexity in software applications, and therefore, there is a need to secure such systems and data. There are various methodologies to deal with security issues when utilizing an open system like the Internet. This research proposes a new technique in steganography within RGB shading space to achieve enhanced security compared with existing systems. We… More >