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A New Secure Transmission for Big Data Based on Nested Sampling and Coprime Sampling

机译:基于嵌套采样和互质采样的大数据安全传输新方法

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There are critical requirements for security in Big Data collection and transmission of Big Data through a communication network. A new secure transmission for Big Data based on nested sampling and co-prime sampling is proposed in this paper. With nested sampling and coprime sampling, Big Data could also achieve higher PSD for BFSK signal. When the sampling spacing pairs bigger enough, the spectrum of BFSK signal performs like frequency hopping. With the same independent multitone interfering signal added to FH/BFSK system, the error probability becomes much lower using nested sampling and coprime sampling compared with the original FH/BFSK signal. This property has great advantage in the security of Big Data collection and transmission using FH/BFSK based on nested sampling and coprime sampling.
机译:在通过通信网络收集和传输大数据时,对安全性有严格的要求。提出了一种基于嵌套采样和互质采样的大数据安全传输方法。通过嵌套采样和互质采样,大数据还可以为BFSK信号实现更高的PSD。当采样间隔对足够大时,BFSK信号的频谱就像跳频一样。将相同的独立多音干扰信号添加到FH / BFSK系统后,与原始FH / BFSK信号相比,使用嵌套采样和互质采样的错误概率将大大降低。此属性在使用基于嵌套采样和互质采样的FH / BFSK进行大数据收集和传输的安全性方面具有巨大优势。

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