Optics and Precision Engineering, Volume. 33, Issue 3, 486(2025)

Secret key extraction from atmospheric wireless optical channels by combing with generative adversarial network

Zhuozhan TIAN1, Chunyi CHEN1,2、*, Xiaojuan HU1, Haiyang YU1, Yanfeng LI1, and Fang WANG1
Author Affiliations
  • 1School of Computer Science and Technology, Changchun University of Science and Technology,Changchun30022, China
  • 2Chongqing Research Institute, Changchun University of Science and Technology, Chongqing401135, China
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    Wireless optical channel key extraction serves as an effective method for achieving physical layer security, wherein legitimate parties generate a key sequence by detecting and estimating the features of the optical channel. Eavesdroppers, however, may capture key-related information through optical signals outside the legitimate party's receiving aperture. To address this challenge, a novel key extraction scheme was proposed. Initially, an enhanced generative adversarial network model was utilized to enable legitimate parties to accurately estimate channel features relevant for key extraction from the measured channel sequences. Subsequently, a random quantization alternating method was employed on the estimated channel feature sequences to derive the initial keys independently. Experimental results demonstrate that the key sequences generated by the legitimate parties exhibit high consistency, with the correlation coefficient between the channel feature sequences estimated by Alice and Bob reaching 0.998 3 in a 25 dB SNR environment. Furthermore, the initial key disagreement rate produced by Alice and Bob is 1.3×10-4 ,which is significantly reduced by the proposed scheme. The shared key obtained after information negotiation by the legitimate parties successfully passes the NIST randomness test, underscoring the efficacy and robustness of the proposed method in enhancing key extraction reliability.

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    Zhuozhan TIAN, Chunyi CHEN, Xiaojuan HU, Haiyang YU, Yanfeng LI, Fang WANG. Secret key extraction from atmospheric wireless optical channels by combing with generative adversarial network[J]. Optics and Precision Engineering, 2025, 33(3): 486

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    Paper Information

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    Received: Sep. 13, 2024

    Accepted: --

    Published Online: Apr. 30, 2025

    The Author Email: Chunyi CHEN (chenchunyi@hotmail.com)

    DOI:10.37188/OPE.20253303.0486

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