Silicon Photonic Neural Networks for Chaos-based Secure Communication

We propose a continuous time recurrent neural network of four neurons modeled on a silicon photonic platform to generate chaos. Two such chaotic systems can be synchronized with low-latency using master-slave synchronization for high-speed secure data communication.

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Bibliographic Details
Main Authors: Masson, Yashpreet, Marquez, Bicky A., Shastri, Bhavin J.
Format: Conference Proceeding
Language:English
Subjects:
chaos synchronization
Chaotic communication
cybersecurity
Neurons
Optical signal processing
Photonics
recurrent neural networks
Silicon
silicon photonics
Synchronization
Online Access:Request full text
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Description
Summary:We propose a continuous time recurrent neural network of four neurons modeled on a silicon photonic platform to generate chaos. Two such chaotic systems can be synchronized with low-latency using master-slave synchronization for high-speed secure data communication.
ISSN:2575-274X
DOI:10.1109/IPC47351.2020.9252320