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 Totovic, George Dabos, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas, Dimitrios Kalavrouziotis, Dimitris Syrivelis, Paraskevas Bakopoulos, Elad Mentovich, Nikos Pleros. DDOS attack identification via a silicon photonic Deep Neural Network with 50 GHz input and weight update. In Optical Fiber Communications Conference and Exhibition, OFC 2023, San Diego, CA, USA, March 5-9, 2023. pages 1-3, IEEE, 2023. [doi]

@inproceedings{TsakyridisGMMTD23,
  title = {DDOS attack identification via a silicon photonic Deep Neural Network with 50 GHz input and weight update},
  author = {Apostolos Tsakyridis and George Giamougiannis and Miltiadis Moralis-Pegios and George Mourgias-Alexandris and Angelina Totovic and George Dabos and Manos Kirtas and Nikolaos Passalis and Anastasios Tefas and Dimitrios Kalavrouziotis and Dimitris Syrivelis and Paraskevas Bakopoulos and Elad Mentovich and Nikos Pleros},
  year = {2023},
  doi = {10.23919/OFC49934.2023.10117359},
  url = {https://doi.org/10.23919/OFC49934.2023.10117359},
  researchr = {https://researchr.org/publication/TsakyridisGMMTD23},
  cites = {0},
  citedby = {0},
  pages = {1-3},
  booktitle = {Optical Fiber Communications Conference and Exhibition, OFC 2023, San Diego, CA, USA, March 5-9, 2023},
  publisher = {IEEE},
  isbn = {978-1-957171-18-0},
}