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A geographic information encryption system based on chaos-LSTM and chaos sequence proliferation
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Jia DUAN, Luanyun HU, Qiumei XIAO, Meiting LIU, Wenxin YU. A geographic information encryption system based on chaos-LSTM and chaos sequence proliferation[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .
@article{title="A geographic information encryption system based on chaos-LSTM and chaos sequence proliferation",
author="Jia DUAN, Luanyun HU, Qiumei XIAO, Meiting LIU, Wenxin YU",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2300755"
}
%0 Journal Article
%T A geographic information encryption system based on chaos-LSTM and chaos sequence proliferation
%A Jia DUAN
%A Luanyun HU
%A Qiumei XIAO
%A Meiting LIU
%A Wenxin YU
%J Journal of Zhejiang University SCIENCE C
%V -1
%N -1
%P
%@ 2095-9184
%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2300755
TY - JOUR
T1 - A geographic information encryption system based on chaos-LSTM and chaos sequence proliferation
A1 - Jia DUAN
A1 - Luanyun HU
A1 - Qiumei XIAO
A1 - Meiting LIU
A1 - Wenxin YU
J0 - Journal of Zhejiang University Science C
VL - -1
IS - -1
SP -
EP -
%@ 2095-9184
Y1 - 1998
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2300755
Abstract: In response to the strong correlation between the chaotic system state and initial state and parameters in traditional chaotic encryption algorithms, which may lead to the periodicity of chaotic sequences, the chaos-LSTM model is constructed by combining chaotic systems and LSTM neural networks. The chaos sequence proliferation (CSP) algorithm is constructed to address the problem that the limited computational accuracy of computers can lead to the periodicity of long chaotic sequences, making it unsuitable for encrypting objects with large amounts of data. Combining the above two, the geographic information encryption system based on chaos-LSTM and CSP is proposed. Firstly, the chaos-LSTM model is used to output chaotic sequences with high Spectral Entropy (SE) complexity. Then, a shorter chaotic sequence is selected and proliferated using the CSP algorithm to generate chaotic proliferation sequences that match the encrypted object, and a randomness analysis is conducted and testing is performed on it. Finally, using geographic images as encryption objects, the chaos proliferation sequence, scrambling, and diffusion algorithm are combined to form the encryption system, which is implemented in the ZYNQ platform. The system’s excellent confidentiality performance and scalability are proved by software testing and hardware experiments, which can be used for the confidentiality peers of various encryption objects with outstanding application value.
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