Channel Characteristics Based Adjustable Fingerprint for Identity Authentication in WDM-PON With Deep Neural Networks

Channel Characteristics Based Adjustable Fingerprint for Identity Authentication in WDM-PON With Deep Neural Networks

Wavelength-division-multiplexed passive optical network (WDM-PON) has been widely deployed for the high-speed, reliable transmission and low-cost properties. The physical layer identity authentication in WDM-PON becomes increasingly prominent. Recently, many device fingerprint based identity authent...

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Bibliographic Details
Main Authors: Kun Wu, Hongxiang Wang, Yuefeng Ji
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Photonics Journal
Subjects:
Deep learning
identity authentication
channel characteristics fingerprint
identity spoofing attack
wavelength-division-multiplexed passive optical network (WDM-PON)
Online Access:https://ieeexplore.ieee.org/document/9733267/

Internet

https://ieeexplore.ieee.org/document/9733267/

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