1.
He, Jiaxiang; Giddings, Roger P.; Jin, Wei; Hao, Ming; Tang, Jianming
Chaotic digital filter-based physical layer security with data-assisted tri-level encryption for heterogeneous access networks Journal Article
In: Journal of Optical Communications and Networking, vol. 17, no. 6, pp. 448–458, 2025, ISSN: 1943-0639.
Abstract | Links | BibTeX | Tags: Bandwidth, Chaotic communication, Encryption, Entropy, OFDM, Optical distortion, Optical fiber sensors, Optical fibers, Optical filters, Security
@article{he_chaotic_2025,
title = {Chaotic digital filter-based physical layer security with data-assisted tri-level encryption for heterogeneous access networks},
author = {Jiaxiang He and Roger P. Giddings and Wei Jin and Ming Hao and Jianming Tang},
url = {https://ieeexplore.ieee.org/document/10989603},
doi = {10.1364/JOCN.555584},
issn = {1943-0639},
year = {2025},
date = {2025-06-01},
urldate = {2025-10-08},
booktitle = {Optical Fiber Communication Conference (OFC) 2025},
journal = {Journal of Optical Communications and Networking},
volume = {17},
number = {6},
pages = {448–458},
abstract = {Due to the increasing demand for robust network cybersecurity, future communication technologies must consider security as a mandatory design feature. However, existing physical layer security techniques can be excessively complex and too expensive to support resource-constrained devices in heterogeneous access networks with high connection densities. To address this challenge, a physical layer security technique employing chaotic digital filters (CDFs) with private security keys is proposed and experimentally validated, for the first time, in a 12 Gbit/s intensity modulation and direct detection optical system with a 25 km standard single-mode fiber. Noise-like private security key-based CDFs have security key-dependent changes in amplitude and phase frequency response, with permutation entropies of textbackslashgt 0.99, thus achieving data-assisted tri-level encryption by directly distorting the data signals, inducing interferences between data signals, and also intensifying the interferences via illegal detections. As CDFs are digitally integrable and offer features of “security-by-design,” “openness-by-design,” and “dynamic security at the traffic level,” the proposed technique facilitates an open and interoperable security solution with the utmost security for heterogeneous access networks.},
keywords = {Bandwidth, Chaotic communication, Encryption, Entropy, OFDM, Optical distortion, Optical fiber sensors, Optical fibers, Optical filters, Security},
pubstate = {published},
tppubtype = {article}
}
Due to the increasing demand for robust network cybersecurity, future communication technologies must consider security as a mandatory design feature. However, existing physical layer security techniques can be excessively complex and too expensive to support resource-constrained devices in heterogeneous access networks with high connection densities. To address this challenge, a physical layer security technique employing chaotic digital filters (CDFs) with private security keys is proposed and experimentally validated, for the first time, in a 12 Gbit/s intensity modulation and direct detection optical system with a 25 km standard single-mode fiber. Noise-like private security key-based CDFs have security key-dependent changes in amplitude and phase frequency response, with permutation entropies of textbackslashgt 0.99, thus achieving data-assisted tri-level encryption by directly distorting the data signals, inducing interferences between data signals, and also intensifying the interferences via illegal detections. As CDFs are digitally integrable and offer features of “security-by-design,” “openness-by-design,” and “dynamic security at the traffic level,” the proposed technique facilitates an open and interoperable security solution with the utmost security for heterogeneous access networks.
2.
Huang, Yi; Chen, Xiaofeng; Shen, Wei; Wei, Ziyi; Hu, Chengyong; Deng, Chuanlu; Wang, Lisen; Zhang, Qi; Chen, Wei; Zhang, Xiaobei; Chen, Lin; Jin, Wei; Tang, Jianming; Wang, Tingyun
Sidelobe Suppression Method with Improved CLEAN Algorithm for Pulse Compression OTDR Journal Article
In: IEEE Photonics Technology Letters, vol. 36, no. 22, pp. 1321–1324, 2024, ISSN: 1941-0174.
Abstract | Links | BibTeX | Tags: CLEAN algorithm, Encoding, Filtering, Optical fibers, Optical filters, Perturbation methods, phase coding, Pulse compression optical time domain reflectometry (PC-OTDR), sidelobe suppression, Signal to noise ratio, Spatial resolution
@article{huang_sidelobe_2024,
title = {Sidelobe Suppression Method with Improved CLEAN Algorithm for Pulse Compression OTDR},
author = {Yi Huang and Xiaofeng Chen and Wei Shen and Ziyi Wei and Chengyong Hu and Chuanlu Deng and Lisen Wang and Qi Zhang and Wei Chen and Xiaobei Zhang and Lin Chen and Wei Jin and Jianming Tang and Tingyun Wang},
url = {https://ieeexplore.ieee.org/document/10685474},
doi = {10.1109/LPT.2024.3465501},
issn = {1941-0174},
year = {2024},
date = {2024-11-01},
urldate = {2025-10-08},
journal = {IEEE Photonics Technology Letters},
volume = {36},
number = {22},
pages = {1321–1324},
abstract = {Although pulse compression optical time domain reflectometry (PC-OTDR) exhibits high performance in spatial resolution and dynamic range, it inevitably introduces auto-correlation sidelobes, potentially impacting measurement accuracy. In this letter, an improved CLEAN algorithm is proposed to efficiently suppress sidelobes and enhance the peak-to-sidelobe ratio (PSLR) of signals in PC-OTDR. The proposed method introduces an adaptive step factor instead of the traditional fixed factor to reduce the number of iterations. Compared to the traditional method, the proposed method achieves a 2.87 dB improvement of PSLR from a 10 km sensing fiber. In addition, the computation time cost is significantly reduced, which is 1.92 s less than that of the traditional CLEAN algorithm.},
keywords = {CLEAN algorithm, Encoding, Filtering, Optical fibers, Optical filters, Perturbation methods, phase coding, Pulse compression optical time domain reflectometry (PC-OTDR), sidelobe suppression, Signal to noise ratio, Spatial resolution},
pubstate = {published},
tppubtype = {article}
}
Although pulse compression optical time domain reflectometry (PC-OTDR) exhibits high performance in spatial resolution and dynamic range, it inevitably introduces auto-correlation sidelobes, potentially impacting measurement accuracy. In this letter, an improved CLEAN algorithm is proposed to efficiently suppress sidelobes and enhance the peak-to-sidelobe ratio (PSLR) of signals in PC-OTDR. The proposed method introduces an adaptive step factor instead of the traditional fixed factor to reduce the number of iterations. Compared to the traditional method, the proposed method achieves a 2.87 dB improvement of PSLR from a 10 km sensing fiber. In addition, the computation time cost is significantly reduced, which is 1.92 s less than that of the traditional CLEAN algorithm.