Towards Real-Time Deep Learning-Based Network Intrusion Detection on FPGA

Laurens Le Jeune, Toon Goedemé, Nele Mentens. Towards Real-Time Deep Learning-Based Network Intrusion Detection on FPGA. In Jianying Zhou 0001, Chuadhry Mujeeb Ahmed, Lejla Batina, Sudipta Chattopadhyay 0001, Olga Gadyatskaya, Chenglu Jin, Jingqiang Lin, Eleonora Losiouk, Bo Luo, Suryadipta Majumdar, Mihalis Maniatakos, Daisuke Mashima, Weizhi Meng 0001, Stjepan Picek, Masaki Shimaoka, Chunhua Su, Cong Wang 0001, editors, Applied Cryptography and Network Security Workshops - ACNS 2021 Satellite Workshops, AIBlock, AIHWS, AIoTS, CIMSS, Cloud S&P, SCI, SecMT, and SiMLA, Kamakura, Japan, June 21-24, 2021, Proceedings. Volume 12809 of Lecture Notes in Computer Science, pages 133-150, Springer, 2021. [doi]

Abstract

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