Coverless Information Hiding Based on Probability Graph Learning for Secure Communication in IoT Environment

Author(s):  
Zhili Zhou ◽  
Yuecheng Su ◽  
Yulan Zhang ◽  
Zhihua Xia ◽  
Shan Du ◽  
...  
2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Yi Cao ◽  
Zhili Zhou ◽  
Q. M. Jonathan Wu ◽  
Chengsheng Yuan ◽  
Xingming Sun

2021 ◽  
Vol 553 ◽  
pp. 19-30
Author(s):  
Qi Li ◽  
Xingyuan Wang ◽  
Xiaoyu Wang ◽  
Bin Ma ◽  
Chunpeng Wang ◽  
...  

2018 ◽  
Vol 35 (sup1) ◽  
pp. 23-33 ◽  
Author(s):  
Jianbin Wu ◽  
Yiwen Liu ◽  
Zhenwei Dai ◽  
Ziyang Kang ◽  
Saman Rahbar ◽  
...  

2021 ◽  
Vol 29 (3) ◽  
pp. 899-914
Author(s):  
Lin Xiang ◽  
Jiaohua Qin ◽  
Xuyu Xiang ◽  
Yun Tan ◽  
Neal N. Xiong

2012 ◽  
Vol 6 (4) ◽  
pp. 71-93
Author(s):  
Ming Yang ◽  
Chih-Cheng Hung ◽  
Edward Jung

Secure communication has traditionally been ensured with data encryption, which has become easier to break than before due to the advancement of computing power. For this reason, information hiding techniques have emerged as an alternative to achieve secure communication. In this research, a novel information hiding methodology is proposed to deliver secure information with the transmission/broadcasting of digital video. Secure data will be embedded within the video frames through vector quantization. At the receiver end, the embedded information can be extracted without the presence of the original video contents. In this system, the major performance goals include visual transparency, high bitrate, and robustness to lossy compression. Based on the proposed methodology, the authors have developed a novel synchronization scheme, which ensures audio/video synchronization through speech-in-video techniques. Compared to existing algorithms, the main contributions of the proposed methodology are: (1) it achieves both high bitrate and robustness against lossy compression; (2) it has investigated impact of embedded information to the performance of video compression, which has not been addressed in previous research. The proposed algorithm is very useful in practical applications such as secure communication, captioning, speech-in-video, video-in-video, etc.


2020 ◽  
Vol 30 (04) ◽  
pp. 2050062
Author(s):  
Xiang Zhang ◽  
Fei Peng ◽  
Zixing Lin ◽  
Min Long

To improve the robustness and imperceptibility of the existing coverless image information hiding, a generative coverless image information hiding algorithm based on fractal theory is proposed in this paper. Firstly, four fractal image generation methods are analyzed, and the relationship between the coverless information hiding and these methods is discussed. Secondly, based on the fractal image generation algorithm, secret information is hidden by controlling pixel rendering during the generation process. The robustness, imperceptibility, and capability of resisting steganalysis are balanced by adjusting the rendering distance. As it directly generates stego images, this can resist the detection of most existing steganalysis methods. Meanwhile, different capacities can be achieved by adjusting the size of the generated image. Experimental results and analysis show that the proposed scheme can effectively resist steganalysis and has good robustness against various image attacks. Furthermore, it can achieve large capacity, and it has broad prospects for covert communication.


Author(s):  
Zhili Zhou ◽  
Yan Mu ◽  
Ningsheng Zhao ◽  
Q. M. Jonathan Wu ◽  
Ching-Nung Yang

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