Zhong Qing, Guo Zhiruo, Liu Bo, Ren Jianxin, Mao Yaya, Wu Xiangyu, Wu Yongfeng, Zhao Lilong, Sun Tingting, Ullah Rahat
Opt Express. 2022 Jun 6;30(12):21774-21786. doi: 10.1364/OE.460299.
In this paper, we propose a block compressive sensing (BCS) based chaotic embedded encryption scheme for multi-core fiber orthogonal frequency division multiplexing (MCF-OFDM) system. BCS technology is used to recover the entire desired information from the small amounts of data. Meanwhile, a four-dimensional discrete chaotic encryption model generates four masking factors, which are respectively used for coefficient random permutation (CRP), measurement matrix, diffusion and singular value decomposition (SVD) embedding to achieve ultra-high security encryption of four different dimensions. In terms of compressive sensing, CRP can make the discrete cosine transform (DCT) coefficient distribute randomly to improve the sampling efficiency of BCS. Compared with the data without compressive sensing, the data volume is reduced by 75%. In chaotic encryption, SVD technology embeds secret images of noise-like after initial encryption into carrier images to generate encrypted images with visual security. The key space reaches 10 and it realizes the dual protection of source image data and external representation. The proposed scheme using a 2km 7-core optical fiber achieves a 78.75 Gb/s transmission of encrypted OFDM signals. The received optical power is greater than -14 dBm, and the bit error rate (BER) of core1-core7 is lower than 10. When the compression ratio sets to 0.25 and the attack range of encrypted data is up to 30%, the image can still recover the outline and general information. The experimental results show that this scheme can improve the security performance and reduce the complexity of information transmission system. Furthermore, the scheme combines The BCS chaotic embedded encryption technology with MCF-OFDM system, which has a good application prospect in the future optical networks.
在本文中，我们针对多芯光纤正交频分复用（MCF-OFDM）系统提出了一种基于块压缩感知（BCS）的混沌嵌入式加密方案。BCS技术用于从少量数据中恢复整个所需信息。同时，一个四维离散混沌加密模型生成四个掩码因子，分别用于系数随机置换（CRP）、测量矩阵、扩散和奇异值分解（SVD）嵌入，以实现四个不同维度的超高安全性加密。在压缩感知方面，CRP可使离散余弦变换（DCT）系数随机分布，提高BCS的采样效率。与无压缩感知的数据相比，数据量减少了75%。在混沌加密中，SVD技术将初始加密后的类噪声秘密图像嵌入载体图像中，生成具有视觉安全性的加密图像。密钥空间达到10，实现了源图像数据和外部表示的双重保护。所提方案使用2km的7芯光纤实现了78.75 Gb/s的加密OFDM信号传输。接收光功率大于-14 dBm，核心1至核心7的误码率（BER）低于10。当压缩比设置为0.25且加密数据的攻击范围高达30%时，图像仍可恢复轮廓和大致信息。实验结果表明，该方案可提高安全性能并降低信息传输系统的复杂度。此外，该方案将BCS混沌嵌入式加密技术与MCF-OFDM系统相结合，在未来光网络中具有良好的应用前景。
