Intelligent dynamic data perturbation OCDM encryption scheme based on cellular neural network and biological genetic encoding.

In this paper, an intelligent dynamic perturbation orthogonal chirp division multiplexing (OCDM) encryption scheme based on cellular neural network and biological genetic encoding for seven-core optical fiber is proposed for the first time to our knowledge. In this scheme, chaotic sequences generated by cellular neural network are employed to construct six masking vectors to achieve six dimensions of ultra-high security encryption. The transmitted bit data is interleaved according to the DNA operation rules. The subcarrier frequency, symbol matrix, and time are scrambled. Because the selected encoding rule, decoding rule, key base sequence, subcarrier frequency, symbol matrix, and scrambling position of time all change dynamically, the robustness against malicious attack is enhanced. Simultaneously, OCDM technology is employed to optimize the system, which effectively improves the anti-interference ability and bit error performance of the system. A 70 Gb /s (7×10 Gb /s) encrypted OCDM signal transmission experiment is carried out on a 2 km 7-core fiber, and an orthogonal frequency division multiplexing (OFDM) signal is transmitted under the same conditions for comparison and verification. The results show that the key space of the newly proposed encryption scheme can reach 101170, and the receiver sensitivity of OCDM is 1.2 dB greater than that of OFDM when the bit error rate is 10-3. The scheme can improve the security of encrypted information and the performance of the system, which is very promising in the optical access network of the future.

High-security and low-complexity OCDM transmission scheme based on GAN enhanced chaotic encryption.

We report a low-complexity and high-security orthogonal chirp division multiplexing (OCDM) transmission scheme based on generative adversarial networks (GAN) enhanced chaotic encryption. Our investigation focuses on the security and efficiency of the communication system. To successfully apply GAN for the encryption scheme, we design our networks with new network architectures and modify the loss functions to improve the adversarial training performance of the networks. In the experiment, a weakly coupled seven cores fiber of 2 km was applied to achieve a 70 Gb/s transmission system. The results reveal that our proposed scheme has a maximum receiver sensitivity gain of about 1.26dB than traditional OFDM transmission system, and our encryption scheme has a large keyspace at about 1 × 10202 against brute force cracking by illegal optical network units with only 0.63% running time compared with the traditional chaotic scheme. The results highlight that the proposed encryption scheme has a remarkable reduction in complexity and improvement in security, which is a promising candidate for next-generation PONs.

Chaotic physical security strategy based on manifold learning-assisted GANs for SDM-OFDM-PONs.

In this paper, we propose a high-security spatial division multiplexing orthogonal frequency division multiplexing passive optical network (SDM-OFDM-PON) encryption scheme based on manifold learning-assisted generative adversarial networks (MFGANs). The chaotic sequences generated by MFGANs are applied to produce the masking vectors to encrypt the constellation and frequency. With the help of manifold learning, the proposed scheme can learn the complex structures from various chaotic models and makes use of more parameters than a single traditional model to achieve the large key space of 1 × 10183. A 70 Gb/s encrypted OFDM signal transmission over 2 km 7-core fiber was experimentally demonstrated. In addition, due to the capacity of parallel computing of graphics processing units (GPUs), the encryption time by the proposed scheme is around 1.38% of the conventional encryption scheme. It is therefore shown that the proposed encryption scheme can ensure both efficiency and security in SDM-OFDM-PON systems.

High-security OCDM-PON system of 7-core fiber based on CFCM encryption.

In this paper, we propose a high-security orthogonal chirped division multiplexing passive optical network (OCDM-PON) based on three-dimensional (3D) encryption, including the encryption of bitstream, constellation, and subcarriers. Cascaded fractional-order chaotic mapping (CFCM) is used to generate three masking factors to achieve ultra-high-security encryption in three different dimensions. Logistic mapping is used to control the order of the scheme, which effectively increases the key space to 10152 and improves the security performance of the system. The experiment proves the feasibility of the encryption scheme on OCDM after 16 orthogonal amplitude modulation (16QAM). The encrypted 16QAM-OCDM signal transmits data at a rate of 56 Gb/s on a 2-km 7-core optical fiber, and simultaneously transmits the 16QAM orthogonal frequency division multiplexing (OFDM) signal under the same conditions. It is shown that OCDM-PON is 1.3 dB higher than OFDM-PON in terms of receiver sensitivity when the bit error rate (BER) is 10-3.