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,Nikos Pleros

2023 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION, OFC（2023）

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摘要

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 kappa-score of 0.636.

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