This paper proposes a 7-dimensional (7D) Cellular Neural Network (CNN) based offset quadrature amplitude modulation filter bank multicarrier (OQAM-FBMC) encryption scheme for seven core fiber. The chaotic sequences generated by 7D CNN are applied to produce the masking vectors to encrypt the phase, carrier frequency, and time. In order to verify the performance of the encryption scheme, 70 Gb/s (7×10 Gb/s) encrypted OQAM-FBMC signal transmission over 2 km 7 core fiber is experimentally demonstrated. The key space of 7D CNN can reach 101575 and the scrambling degree can be maintained at 100% regardless of the number of symbols. The experimental results also show that when some keys are compromised, the system's bit error rate (BER) can still reach above 0.46, which effectively ensures the security of the system. Due to its good performance in security, the proposed scheme has important application prospects in future optical access network.

中文翻译：

---

基于7D蜂窝神经网络的七芯光纤OQAM-FBMC加密方案


本文提出了一种适用于七芯光纤的基于 7 维 (7D) 蜂窝神经网络 (CNN) 的偏移正交幅度调制滤波器组多载波 (OQAM-FBMC) 加密方案。 7D CNN 生成的混沌序列用于生成掩蔽向量来加密相位、载波频率和时间。为了验证加密方案的性能，对2 km 7芯光纤上的70 Gb/s（7×10 Gb/s）加密OQAM-FBMC信号传输进行了实验演示。 7D CNN的密钥空间可以达到101575，无论符号数量多少，置乱程度都可以保持在100%。实验结果还表明，当部分密钥被泄露时，系统的误码率（BER）仍然可以达到0.46以上，有效保证了系统的安全性。由于其良好的安全性能，该方案在未来光接入网中具有重要的应用前景。