Open AccessA Novel Secure Data Transmission Scheme Using Chaotic Compressed Sensing
Author(s) -
Hongping Gan,
Song Xiao,
Yimin Zhao
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2017.2780323
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
In this paper, a novel secure data transmission scheme using chaotic compressed sensing, which has inherent encryption property without additional cost, is proposed based on a T-way Bernoulli shift chaotic system. In the proposed scheme, the Bernoulli chaotic sensing matrix (BCsM) is generated by the Bernoulli shift chaotic sequence. We prove that the BCsM meets the restricted isometry property with overwhelming probability, which guarantees good sensing performance. Compared with the state-of-the-art sensing matrices, such as the Gaussian sensing matrix, the BCsM has low complexity and is easily implemented in hardware. Meanwhile, we investigate the recovery performance, robustness, and security of the proposed scheme and show that the proposed scheme can ensure efficient secure data transmission against additive noise and malicious attacks. The proposed scheme is perfectly effective for large-scale, long-term data transmission with high energy efficiency and strong security.
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