Convergence of compressed sensing encryption and deep network recovery in RoF system

Convergence of compressed sensing encryption and deep network recovery in RoF system
复制标题

DOI:
10.1016/j.optcom.2023.129835
复制
发表时间:
2023-08
影响因子:
2.4
通讯作者:
Yaoqiang Xiao;Linrong Jiang;Zhiyi Wang
Yaoqiang Xiao;Linrong Jiang;Zhiyi Wang
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
Yaoqiang Xiao;Linrong Jiang;Zhiyi Wang

文献摘要

相似文献

提出了一种基于压缩感知(CS)加密和深度网络恢复融合的光纤无线电(ROF)系统安全方案。该方案在发送端和接收端分别进行CS加密和深度网络恢复。在发送端,根据压缩比(CR)选择原始数据,然后在CS压缩后通过三阶段加密过程进行保护,并从原始数据生成动态密钥(DK)。在加密过程中,对压缩信息进行3D旋转置乱,然后进行奇异值分解和DK嵌入,最后进行星座符号掩蔽。在接收端使用深度网络来恢复原始数据,提高恢复性能。对该方案进行了实验验证,并成功地在50 km标准单模光纤(SSMF)和5m无线信道上传输了加密的ofdm信号。实验结果表明,该方案的密钥空间为1.34×1 0 233,能够抵抗窃听者的暴力入侵,当接收光功率大于4dBm时,误码率小于1 0−3。此外,平均结构相似度(MSSIM)高于0.97,与传统方法相比提高了0.2。因此,该方案具有良好的安全性能和恢复性能,在未来的光网络中具有很大的应用潜力。
In this paper, a security scheme based on the convergence of compressed sensing (CS) encryption and deep network recovery is proposed in radio-over-fiber (RoF) system. In this scheme, CS encryption and deep network recovery are performed at the transmitter and receiver respectively. At the transmitter, the original data are selected based on the compression ratio (CR) and then protected by a three-stage encryption process after CS compression, and the dynamic key (DK) is generated from the original data. In the encryption process, the compressed information is scrambled by 3D rotation, then singular value decomposition (SVD) and DK embedding is implemented, followed by constellation symbol masking. At the receiver, a deep network is used to recover the original data and improve recovery performance. The proposed scheme is experimentally demonstrated and the encrypted OFDM signals are successfully transmitted over 50 km standard single-mode fiber (SSMF) and 5 m wireless channel. The experimental results show that the scheme has a key space of 1. 34× 1 0 233, which can resist brute intrusion by eavesdroppers, and the bit error rate (BER) is below 1 0− 3 when the received optical power (ROP) is greater than 4 dBm. Additionally, the mean structural similarity (MSSIM) is higher than 0.97, which provides a gain of 0.2 compared to traditional methods. So, the proposed scheme has good security performance and recovery performance, which has a significant potential for application in future optical networks.