Abstract
We propose a method for identifying rogue ONUs based on hardware fingerprint technology. By directly detecting waveform fingerprints, the experimental results show that the average identification accuracy within 16 ONUs can reach 96.74%.
© 2024 The Author(s)
PDF ArticleMore Like This
Yanlong Li, Nan Hua, Chen Zhao, Haotao Wang, Ruijie Luo, and Xiaoping Zheng
Tu3B.3 Optical Fiber Communication Conference (OFC) 2019
Huiyuan Gong, Mengfan Cheng, Weidong Shao, Hongyu Li, Lei Deng, Qi Yang, and Deming Liu
T2B.3 Asia Communications and Photonics Conference (ACP) 2021
Wanchao Gao, Chengpeng Fan, Xiaoxiao Dai, Yuanxiang Wang, Weiqi Lu, Mengfan Cheng, Lei Deng, Qi Yang, and Deming Liu
W4A.4 Optoelectronics and Communications Conference (OECC) 2021