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Conferences > OFC > 2023 > W3G > W3G.1

DDOS attack identification via a silicon photonic Deep Neural Network with 50 GHz input and weight update

Apostolos Tsakyridis, George Giamougiannis, Miltiadis Moralis-Pegios, George Mourgias-Alexandris, Angelina R. Totovic, George Dabos, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas, Dimitrios Kalavrouziotis, Dimitris Syrivelis, P. Bakopoulos, E. Mentovich, and Nikos Pleros

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Abstract

We experimentally demonstrate distributed denial of service (DDOS) attack identification using Deep Learning over a photonic neuromorphic engine that supports both input signal and weight update at 50 GHz, reporting a Cohen’s κ-score of 0.636.

© 2023 The Author(s)

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