Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2016, Vol. 39 ›› Issue (4): 35-39.doi: 10.13190/j.jbupt.2016.04.007

• Papers • Previous Articles     Next Articles

Adaptive Model of Information Hiding for the Same Type

ZHANG Shuai, WANG Peng, SUN Yan   

  1. Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2016-02-02 Online:2016-08-28 Published:2016-08-28

Abstract: There are different types of data in big data platform, in order to ensure the secure transmission of data files, an adaptive model of information hiding based on the traditional information hiding model was proposed. By increasing the hiding algorithm library and carrier file library, the appropriate hiding algorithm and the carrier file can be chosen automatically according to the level and the tag of data files. In the model, the double scrambling of the data file with generating chaotic sequence was implemented, the large capacity hiding algorithms for different types of files was realized, and the image hiding algorithm based on the least significant bit was improved. Finally, the evaluation contrast for the different hiding algorithm was described. Experiment shows that the model can perform correctly and safely.

Key words: adaptive, information hiding, hiding model

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