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OALib Journal期刊
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A Method for Data Secrecy Based on Blind Source Separation
一种基于盲源分离的数据保密方法

Keywords: independent component analysis,blind source separation,data secrecy,noise removal,complete covering
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,盲源分离,数据保密,噪声消除,完全覆盖

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Abstract:

Blind source separation is a promising technique for signal processing, which has such features as blind information processing and waveform restoral. In order to keep the data secret reliably, the applicable principle of BSS in noise removal was extended to form a kind of new method for data secrecy based on the strategy of complete covering, by the introduction of virtual observation. This new method is not only feasible, but of very high security. The results of experiments verified that this new method for data secrecy was simple and effective and had many charming features. For example, it was very simple to use, and has considerable flexibility to implement. Therefore, this method can be used for keeping secrecy of many kinds of different data such as text, speech and image. All of these implied its great potential in information security field.

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