Multi-keywords carrier-free text steganography method based on Chinese Pinyin. (6th March 2020)
- Record Type:
- Journal Article
- Title:
- Multi-keywords carrier-free text steganography method based on Chinese Pinyin. (6th March 2020)
- Main Title:
- Multi-keywords carrier-free text steganography method based on Chinese Pinyin
- Authors:
- Liu, Yuling
Wu, Jiao
Xin, Guojiang - Abstract:
- By combining big data with the characteristics of steganography, carrier-free steganography was proposed to resist all the steganalysis attacks. A novel method named multi-keywords carrier-free text steganography method based on Chinese Pinyin is introduced in this paper. In the proposed method, the hidden tags are selected from the Pinyin combinations of two words. In the process of information hiding, the part of speech (POS) is used for hiding the number of keywords. Also, the redundancy of hidden tags in extraction process is eliminated by ensuring the uniqueness of each hidden tag in each stego-text. Meanwhile, the way of joint retrieval is used for hiding multi-keywords. Experimental results show that the proposed method has good performance in the hiding capacity, the success rate of hiding, the extraction accuracy and the time efficiency with appropriate hidden tags and large-scale of the big text data.
- Is Part Of:
- International journal of computational science and engineering. Volume 21:Number 2(2020)
- Journal:
- International journal of computational science and engineering
- Issue:
- Volume 21:Number 2(2020)
- Issue Display:
- Volume 21, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 21
- Issue:
- 2
- Issue Sort Value:
- 2020-0021-0002-0000
- Page Start:
- 202
- Page End:
- 209
- Publication Date:
- 2020-03-06
- Subjects:
- carrier-free steganography -- big text data -- multi-keywords -- Chinese Pinyin -- POS tagging -- text steganography -- steganalysis attack -- hidden tag -- joint retrieval -- computational science and engineering
Computer science -- Mathematics -- Periodicals
Computer simulation -- Mathematical aspects -- Periodicals
Computational intelligence -- Periodicals
004.015105 - Journal URLs:
- http://www.inderscience.com/jhome.php?jcode=ijcse ↗
http://www.inderscience.com/ ↗ - Languages:
- English
- ISSNs:
- 1742-7185
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 12718.xml