Unsupervised GAN-Based Intrusion Detection System Using Temporal Convolutional Networks and Self-Attention-Reference-Cited by-同舟云学术

Unsupervised GAN-Based Intrusion Detection System Using Temporal Convolutional Networks and Self-Attention

Author:

de Araujo-Filho Paulo Freitas¹^ORCID,Naili Mohamed²,Kaddoum Georges³^ORCID,Fapi Emmanuel Thepie²^ORCID,Zhu Zhongwen²^ORCID

Affiliation:

1. Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil

2. AI HUB Canada, Ericsson GAIA Montreal, Montreal, QC, Canada

3. Electrical Engineering Department, École de Technologie Supérieure, University of Quebec, Montreal, QC, Canada

Funder

Mitacs

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

Reference66 articles.

2. Gradient descent on infinitely wide neural networks: Global convergence and generalization;bach;arXiv 2110 08084,2021

3. The convergence rate of neural networks for learned functions of different frequencies;ronen;Proc Int Conf Adv Neural Inf Process Syst,2019

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