Text Coverless Information Hiding Based on the Combination of Chinese Character Components

被引:0
|
作者
Wang, Junyu [1 ]
Zhu, Yani [1 ]
Ni, Jiaming [1 ]
Wang, Hui [1 ]
Yao, Ye [1 ]
机构
[1] Hangzhou Dianzi Univ, Sch Cyberspace, Hangzhou 310018, Zhejiang, Peoples R China
关键词
Covert communication; coverless text steganography; synonyms expansion;
D O I
10.1142/S021812662350055X
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In recent research works on coverless text information hiding, there are two main problems to be solved: low hiding success rate and small hiding capacity caused by the small amount of redundant information in the cover text. In order to overcome these problems, a method of coverless information hiding based on the combination of Chinese character components is proposed. This method is based on the traditional "location tag + keywords" mode for coverless information hiding, but with an improved design to extend the scope of available keywords for data hiding beyond the original cover texts. In our proposed method, each Chinese character in the keyword is split into two components: radicals and independent Chinese character, which are collected and will be recombined in pairs to generate the new Chinese characters. This method increases the hiding success rate and hiding capacity by generating Chinese characters that do not exist in the original cover text. The experimental result shows that the proposed method can utilize less size of carrier text database for efficient information hiding. When the size of carrier text database is reduced to 198MB, the highest hidden capacity and hidden success that can be achieved are 13.45 and 0.99, respectively.
引用
收藏
页数:23
相关论文
共 50 条
  • [41] A novel, reversible, Chinese text information hiding scheme based on lookalike traditional and simplified Chinese characters
    Feng, Bin
    Wang, Zhi-Hui
    Wang, Duo
    Chang, Ching-Yun
    Li, Ming-Chu
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2014, 8 (01): : 269 - 281
  • [42] A Coverless Information Hiding Algorithm Based on Grayscale Gradient Co-occurrence Matrix
    Wu, Jianbin
    Liu, Yiwen
    Dai, Zhenwei
    Kang, Ziyang
    Rahbar, Saman
    Jia, Yanke
    IETE TECHNICAL REVIEW, 2018, 35 : 23 - 33
  • [43] A High-Capacity Coverless Information Hiding Based on the Lowest and Highest Image Fragments
    Anggriani, Kurnia
    Chiou, Shu-Fen
    Wu, Nan-, I
    Hwang, Min-Shiang
    ELECTRONICS, 2023, 12 (02)
  • [44] A coverless information hiding method based on constructing a complete grouped basis with unsupervised learning
    Lu, JianFeng
    Ni, JinBin
    Li, Li
    Luo, Ting
    Chang, Chin-Chen
    Journal of Network Intelligence, 2021, 6 (01): : 29 - 39
  • [45] CCCIH: Content-consistency Coverless Information Hiding Method Based on Generative Models
    Qi Li
    Xingyuan Wang
    Xiaoyu Wang
    Yunqing Shi
    Neural Processing Letters, 2021, 53 : 4037 - 4046
  • [46] A text information hiding algorithm based on alternatives
    Gongshen, Liu
    Xiaoyun, Ding
    Bo, Su
    Kui, Meng
    Journal of Software, 2013, 8 (08) : 2072 - 2079
  • [47] Faster-RCNN Based Robust Coverless Information Hiding System in Cloud Environment
    Zhou, Zhili
    Cao, Yi
    Wang, Meimin
    Fan, Enming
    Wu, Q. M. Jonathan
    IEEE ACCESS, 2019, 7 : 179891 - 179897
  • [48] A Novel Coverless Information Hiding Method Based on the Most Significant Bit of the Cover Image
    Yang, Lina
    Deng, Haiyu
    Dang, Xiaocui
    IEEE ACCESS, 2020, 8 (08): : 108579 - 108591
  • [49] Coverless Information Hiding Based on Probability Graph Learning for Secure Communication in IoT Environment
    Zhou, Zhili
    Su, Yuecheng
    Zhang, Yulan
    Xia, Zhihua
    Du, Shan
    Gupta, Brij B.
    Qi, Lianyong
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (12) : 9332 - 9341
  • [50] CCCIH: Content-consistency Coverless Information Hiding Method Based on Generative Models
    Li, Qi
    Wang, Xingyuan
    Wang, Xiaoyu
    Shi, Yunqing
    NEURAL PROCESSING LETTERS, 2021, 53 (06) : 4037 - 4046