arXiv 1910.032142019-10cs.ITmath.IT

基于随机滤波理论的物理层数据隐藏-恢复系统

Concealing-Restoring System for Physical Layer Data Based on Stochastic Filtering Theory

Tomohiro Fujii, Masao Hirokawa

备注：: We have slightly modified the title. We have greatly changed the construction of sections, and made several arguments and numerical analyses which theoretically support our method. 58 pages, 42 figures, 4 tables

摘要：

提出了一种OSI参考模型物理层数据隐藏-恢复系统（CRS）。CRS利用随机噪声对数据进行干扰来隐藏数据，并根据适当的随机滤波原理进行消噪处理，将隐藏的数据恢复为原始数据。虽然我们在以前的工作中介绍了CRS的几乎线性版本的轮廓[Fujii & Hirokawa，Math. Industry，Springer（2020）]，但我们解释了其细节，并在本文中研究了其非线性化以提高CRS的安全性。

英文摘要：

We propose a concealing-restoring system (CRS) for data on physical layer of the OSI reference model. CRS conceals those data by disturbing them with some random noises, and restores the data from the concealed ones to the original ones by using the noise elimination based on a proper stochastic filtering theory. Although we introduced the outline of the almost linear version of CRS in our previous work [Fujii & Hirokawa, Math. Industry, Springer (2020)], we explain its details, and study its nonlinearization to improve the security of CRS in this paper.

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