Study On Optical Communications, Volume. 49, Issue 2, 29(2023)

Anti-interception Method of Optical Fiber Communication Physical Layer based on Chaotic Mapping

Xin GAO1,*... Miao LI1 and Yan-ling ZHANG2 |Show fewer author(s)
Author Affiliations
  • 1School of Information and Engineering, Yellow River Water Conservancy Vocational and Technical College, Kaifeng 475000, China
  • 2School of Information and Engineering, Jiaozuo University, Jiaozuo 454001, China
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    In the process of anti-interception of information, due to the weak control ability of data nodes, data is easily lost and information security is not high. An anti-interception method of optical fiber communication physical layer based on chaotic mapping is studied. The existence of the intercepted signal is determined by optical fiber signal detection and identification, and the ciphertext matrix is constructed based on the chaotic map encrypted image. The physical layer communication code is jointly transmitted to realize the information exchange between the receiver side and the transmitter side. We establish the anti-interception model of the communication physical layer to achieve the goal of anti-interception of the optical fiber communication physical layer. In the constructure of optical fiber communication network, a set of images with practical significance are selected as test samples. The proposed method and the traditional method are used for comparison. The experimental results show that the image data can be fully encrypted based on the proposed method. It has strong anti-interception performance, and the data information in the image can be retained in the image transmission, However, the traditional method loses 15 groups and 12 groups respectively, indicating that the proposed method has better performances.

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    Xin GAO, Miao LI, Yan-ling ZHANG. Anti-interception Method of Optical Fiber Communication Physical Layer based on Chaotic Mapping[J]. Study On Optical Communications, 2023, 49(2): 29

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    Paper Information

    Category: Research Articles

    Received: Mar. 28, 2022

    Accepted: --

    Published Online: Apr. 24, 2023

    The Author Email: GAO Xin (363066795@qq.com)

    DOI:10.13756/j.gtxyj.2023.02.005

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