同类型信息自适应隐藏模型

Adaptive Model of Information Hiding for the Same Type

为了保证数据文件的安全传输,以传统隐藏模型为基础,提出了同类型信息自适应隐藏模型.通过增加隐藏算法库和载体模板库,同时引入数据文件的等级和标签,达到自动选择合适的隐藏算法和载体文件的目的.在该模型中,通过生成混沌序列,实现了对数据文件的双置乱加密,并针对数据文件,实现了基于不同类型文件的大容量隐藏算法,改进了基于最低有效位的图像隐藏算法.最后,通过一系列实验验证了模型的正确性和安全性.

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.