A geographic information encryption system based on Chaos-LSTM and chaos sequence proliferation  

作　　者：Jia DUAN Luanyun HU Qiumei XIAO Meiting LIU Wenxin YU 

机构地区：[1]Third Surveying and Mapping Institute of Hunan Province,Changsha 410000,China [2]Hunan Engineering Research Center of Geographic Information Security and Application,Changsha 410000,China [3]School of Information and Electrical Engineering,Hunan University of Science and Technology,Xiangtan 411201,China

出　　处：《Frontiers of Information Technology & Electronic Engineering》2025年第3期427-440,共14页信息与电子工程前沿(英文版)

基　　金：Project supported by the Open Topic of Hunan Engineering Research Center of Geographic Information Security and Application China (No. HNGISA2023005)。

摘　　要：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 periodicity in chaotic sequences, the chaos long short-term memory(Chaos-LSTM) model is constructed by combining chaotic systems with 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 periodicity in long chaotic sequences, making them unsuitable for encrypting objects with large amounts of data. By combining the Chaos-LSTM model and CSP algorithm, a geographic information encryption system is proposed. First, 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;a randomness analysis is conducted and testing is performed on it. Finally, using geographic images as encryption objects, the chaotic proliferation sequence, along with the scrambling and diffusion algorithms, are combined to form the encryption system, which is implemented on the ZYNQ platform. The system's excellent confidentiality performance and scalability are proved by software testing and hardware experiments, making it suitable for the confidentiality peers of various encryption objects with outstanding application value.

关 键 词：CHAOS Long short-term memory(LSTM) Chaos sequence proliferation(CSP) ZYNQ platform Image encryption 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]