10.24 Tb/s passive optical network physical layer security based on multi-dimensional non-uniform segmentation scrambling with annular embedded neurons

Aiming at the security of data transmission in passive optical networks (PONs), this paper proposes a multi-dimensional non-uniform segmentation scrambling encryption scheme based on annular embedded neurons. This scheme can effectively protect the data of large-capacity and ultra-high-speed PONs from the transmission physical layer. Two neuronal chaotic systems are used to generate chaotic sequences by means of cyclic embedding to encrypt the original data. The resulting chaotic sequences are used for bit non-uniform cutting, bit block non-uniform cutting, bit block permutation, and I/Q data non-uniform cutting and permutation, respectively. Compared with encrypted data in traditional PONs, the proposed scheme can adapt to arbitrary quadrature amplitude modulation. At the same time, the scheme can enhance the chaotic non-linear dynamic behavior and alleviate the non-linear degradation of chaotic local vibration. The proposed scheme is demonstrated and verified in a wavelength division multiplexing dual-polarization coherent PON with 4-core fiber. The experiment uses 10 GBaud 256QAM signal to achieve a transmission distance of 115 km and a speed of 10.24 Tb/s. The bit error rate of the proposed encryption scheme can meet the 20% soft decision-forward-error-correction at ${2} \times {{10}^{- {2}}}$, and the maximum sensitivity can reach E-18. The key space reached ${{10}^{154}}$. The results show that this scheme can be compatible with ultra-high-speed and large-capacity space-division multiplexing coherent PONs and can encrypt and protect the data transmitted in the physical layer, which has great potential in the future of coherent PONs.