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Mobile Multimedia Communications. 16th EAI International Conference, MobiMedia 2023, Guilin, China, July 22-24, 2023, Proceedings

Research Article

Statistical Analysis of Amplitude Masking for Quantum Noise Stream Cipher by Intensity Modulation

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-60347-1_5,
        author={Zhaoyun Li and Yugang Huang and Xin Zhang and Qingsong Luo and Xiaodong Liang and Yukun Zhang and Haiyue Pang and Zhiyong Tao and Yaxian Fan},
        title={Statistical Analysis of Amplitude Masking for Quantum Noise Stream Cipher by Intensity Modulation},
        proceedings={Mobile Multimedia Communications. 16th EAI International Conference, MobiMedia 2023, Guilin, China, July 22-24, 2023, Proceedings},
        proceedings_a={MOBIMEDIA},
        year={2024},
        month={10},
        keywords={quantum noise stream cipher intensity modulation Statistical analysis},
        doi={10.1007/978-3-031-60347-1_5}
    }
    
  • Zhaoyun Li
    Yugang Huang
    Xin Zhang
    Qingsong Luo
    Xiaodong Liang
    Yukun Zhang
    Haiyue Pang
    Zhiyong Tao
    Yaxian Fan
    Year: 2024
    Statistical Analysis of Amplitude Masking for Quantum Noise Stream Cipher by Intensity Modulation
    MOBIMEDIA
    Springer
    DOI: 10.1007/978-3-031-60347-1_5
Zhaoyun Li1, Yugang Huang1, Xin Zhang2, Qingsong Luo2, Xiaodong Liang2, Yukun Zhang1, Haiyue Pang1, Zhiyong Tao1, Yaxian Fan1,*
  • 1: Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education, Guilin University of Electronic Technology
  • 2: Guangxi Key Laboratory of Optical Network and Information Security, 34th Research Institute of China Electronics Technology Group Corporation
*Contact email: yxfan@guet.edu.cn

Abstract

The statistical characteristics of amplitude masking for quantum noise stream cipher by intensity modulation is investigated, which is a Gaussian decomposition fitting based on the distribution probabilities of QNSC signals. The level amplitude distribution probability and standard deviation of noise of QNSC signal can be estimated, even if the encryption order is greater than 16, the decomposition of the probability density function is very complicated in calculation and produces considerable errors. Ultimate, an analysis of the performance of QNSC signal indicated that with the number of encryption order increasing, the error probability for Eve significantly increase, when the encryption orders are larger than 16, the error probabilities are higher than the hard decision forward error correction threshold 3.8 × 10−3. On the contrary, the error probability for Bob is always maintained at a relatively low level in this process. It is illustrated that analysis of amplitude statistical characteristics can estimate the security of the QNSC system effectively.

Keywords
quantum noise stream cipher intensity modulation Statistical analysis
Published
2024-10-25
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-60347-1_5
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