Multi-Domain Multi-Level Optical Encryption Transmission Scheme Based on Memristor Rulkov Neuron Chaos

IF 2.1 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Zhiruo Guo;Bo Liu;Jianxin Ren;Qing Zhong;Yaya Mao;Xiangyu Wu;Wenchao Xia;Xiumin Song;Shuaidong Chen;Ying Li;Feng Wang;Yongfeng Wu
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Abstract

This paper proposes a multi-domain multi-level (MDML) orthogonal frequency division multiplexing (OFDM) optical encryption transmission scheme based on memristor Rulkov neuron chaos. In this scheme, the masking factors generated by the memristor Rulkov neuron chaos are used to encrypt the information of the digital modulation process, so as to improve the anti-malicious attack performance of the system. Among them, the memristor unit constructs a simple discrete map to capture the complex nonlinear neuronal behavior, and the generated masking factors encrypt the data in the digital modulation process. In addition, the proposed scheme introduces the encryption depth control parameters (EDCP), which can make up for the information damage caused by the complexity of encryption. The selection of EDCP can not only encrypt the data, but also change the distribution of the uniformly distributed constellation points position, reduce the average power of the constellation points, and improve the transmission performance of the fiber communication system. A 9.41 Gb/s OFDM signal transmission over 25 km standard single-mode fiber (SSMF) is experimentally demonstrated. The introduction of memristor Rulkov neurons makes the key space reach 10 116 . The introduction of the EDCP makes the key space expand 10 36 times. When the bit error rate (BER) is 10 −2 , the receiving sensitivity of the EDCP with 0.2, 0.4, 0.8 is 6 dB higher than that of the EDCP with 0.9, 0.3, 0.1. The results show that the encryption scheme can effectively resist illegal attacks and improve the security performance of the system.
基于忆阻器鲁尔科夫神经元混沌的多域多级光加密传输方案
本文提出了一种基于忆阻器鲁尔科夫神经元混沌的多域多级(MDML)正交频分复用(OFDM)光加密传输方案。在该方案中,利用忆阻器 Rulkov 神经元混沌产生的掩蔽因子对数字调制过程中的信息进行加密,从而提高系统的抗恶意攻击性能。其中,忆阻器单元构建了一个简单的离散图来捕捉复杂的非线性神经元行为,生成的掩蔽因子对数字调制过程中的数据进行加密。此外,该方案还引入了加密深度控制参数(EDCP),可以弥补加密复杂性对信息造成的破坏。选择 EDCP 不仅能对数据进行加密,还能改变均匀分布的星座点位置分布,降低星座点的平均功率,提高光纤通信系统的传输性能。实验演示了在 25 千米标准单模光纤(SSMF)上传输 9.41 Gb/s 的 OFDM 信号。忆阻器 Rulkov 神经元的引入使密钥空间达到 10116。EDCP 的引入使密钥空间扩大了 1036 倍。当误码率(BER)为 10-2 时,0.2、0.4、0.8 的 EDCP 的接收灵敏度比 0.9、0.3、0.1 的 EDCP 高 6 dB。结果表明,该加密方案能有效抵御非法攻击,提高了系统的安全性能。
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来源期刊
IEEE Photonics Journal
IEEE Photonics Journal ENGINEERING, ELECTRICAL & ELECTRONIC-OPTICS
CiteScore
4.50
自引率
8.30%
发文量
489
审稿时长
1.4 months
期刊介绍: Breakthroughs in the generation of light and in its control and utilization have given rise to the field of Photonics, a rapidly expanding area of science and technology with major technological and economic impact. Photonics integrates quantum electronics and optics to accelerate progress in the generation of novel photon sources and in their utilization in emerging applications at the micro and nano scales spanning from the far-infrared/THz to the x-ray region of the electromagnetic spectrum. IEEE Photonics Journal is an online-only journal dedicated to the rapid disclosure of top-quality peer-reviewed research at the forefront of all areas of photonics. Contributions addressing issues ranging from fundamental understanding to emerging technologies and applications are within the scope of the Journal. The Journal includes topics in: Photon sources from far infrared to X-rays, Photonics materials and engineered photonic structures, Integrated optics and optoelectronic, Ultrafast, attosecond, high field and short wavelength photonics, Biophotonics, including DNA photonics, Nanophotonics, Magnetophotonics, Fundamentals of light propagation and interaction; nonlinear effects, Optical data storage, Fiber optics and optical communications devices, systems, and technologies, Micro Opto Electro Mechanical Systems (MOEMS), Microwave photonics, Optical Sensors.
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