Abstract: We propose and demonstrate a hardware fingerprint authentication model in optical networks using anomaly detection, where the recognition accuracy of 97.53% and miss alarm rate of 0 are achieved over 20-km single-mode fiber channel.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9849982
