Li Mingye, Ren Jianxin, Mao Yaya, Song Xiumin, Chen Shuaidong, Han Shun, Zhao Jianye, Wan Yibin, Tian Feng, Liu Bo
Opt Express. 2021 Aug 2;29(16):25848-25858. doi: 10.1364/OE.432462.
In this paper, a flexible physical security coding scheme integrating chaotic neural network (CNN) and non-linear encryption is proposed for orthogonal frequency division multiplexing wavelength division multiplexing passive optical network (OFDM-WDM-PON). The scheme improved the flexibility, adjustability and the key space of chaotic encryption system by introducing chaos into neural networks. The system will encrypt the bit series, probability shaping points, and subcarriers position of the OFDM signal through linear encryption and non-linear encryption concurrently. Results show that a key sensitivity of 10 and a key space of more than 10 can be achieved. The encrypted system's Lyapunov is 5.2631, along with 12 parameters can be dynamically changed in the range of 0∼5. Furthermore, when the bit error rate (BER) is less than 3.8×10, probabilistic shaping (PS) technology decreases power loss by around 0.5 dB. A 20.454 Gb/s data transmission experiment was successfully verified for a span of 25 Km single-mode fiber. According to the experimental results, the proposed encryption scheme is likely to be used in future OFDM-WDM-PON transmission systems.
本文针对正交频分复用波分复用无源光网络(OFDM-WDM-PON),提出了一种融合混沌神经网络(CNN)和非线性加密的灵活物理安全编码方案。该方案通过将混沌引入神经网络,提高了混沌加密系统的灵活性、可调节性和密钥空间。该系统将通过线性加密和非线性加密同时对OFDM信号的比特序列、概率整形点和子载波位置进行加密。结果表明,可以实现10的密钥敏感性和超过10的密钥空间。加密系统的李雅普诺夫值为5.2631,同时12个参数可在0至5的范围内动态变化。此外,当误码率(BER)小于3.8×10时,概率整形(PS)技术可将功率损耗降低约0.5 dB。成功验证了在25公里单模光纤跨度上进行的20.454 Gb/s数据传输实验。根据实验结果,所提出的加密方案有望用于未来的OFDM-WDM-PON传输系统。