| 摘要: |
| 物联网数据传输面临数据压缩和加密的双重挑战，基于混沌映射的压缩感知(Compressed Sensing，CS)为压缩与加密一体化处理提供了可行路径。为提升混沌序列的伪随机性及压缩和加密性能，提出了一种基于量子混沌映射技术的数据压缩和加密方案。利用量子混沌映射生成3组序列分别用于信号数据置乱、压缩感知采集和信息扩散，并以混沌参数作为密钥，结合非对称加密确保密钥安全传输。在一维心电图与二维图像上的仿真和实验结果表明，所提方案在压缩性能上与传统随机矩阵的方法相当，重构精度相较其他混沌方法提高2.77 dB，同时表现出良好的加密性能，在物联网数据安全传输领域展现出应用潜力。 |
| 关键词: 物联网 数据压缩 数据加密 量子混沌映射 压缩感知 |
| DOI：10.20079/j.issn.1001-893x.250512001 |
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| 基金项目:科技创新2030重大项目(2021ZD0301300) |
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| Quantum Chaos-driven Data Compression and Secure Transmission in Internet of Things |
| ZHANG Yue,XUE Weijia,WANG Jinhua,HUANG Chengbin |
| (1.China Telecom Research Institute，Shanghai 201315，China;2.National Engineering Research Center of Cloud and Network Infrastructure Security，Shanghai 201315，China) |
| Abstract: |
| The transmission of Internet of Things(IoT) data faces dual challenges of data compression and encryption requirements.Compressed sensing(CS) methods based on chaotic maps provide a feasible approach for integrated compression and encryption.To enhance the pseudo-randomness of chaotic sequences and improve compression and encryption performance，a data compression and encryption strategy based on quantum chaotic mapping technology is proposed.Three sets of sequences generated by quantum chaotic mapping are utilized for signal data scrambling，CS acquisition，and diffusion，respectively.Chaotic parameters are employed as data transmission keys，and an asymmetric encryption algorithm is adopted to ensure the secure transmission of these parameters.Simulation and experimental results on one-dimensional electrocardiogram(ECG) signals and two-dimensional images demonstrate that the proposed method achieves comparable compression performance to traditional random matrix-based approaches，with a reconstruction accuracy 2.77 dB higher than that of other chaotic methods.Additionally，it exhibits excellent encryption performance，showcasing promising potential for secure data transmission in IoT applications. |
| Key words: Internet of Things data compression data encryption quantum chaotic map compressed sensing |
《电讯技术》编辑部 