Examining Generative Adversarial Network for Smart Home DDoS Traffic Generation-Reference-Cited by-同舟云学术

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Examining Generative Adversarial Network for Smart Home DDoS Traffic Generation

Published:2023-10-23 Issue: Volume: Page:
ISSN:
Container-title:2023 International Symposium on Networks, Computers and Communications (ISNCC)
language:
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Author:

Nekvi Rashed Iqbal¹,Saha Sajal²,Mtawa Yaser Al³,Haque Anwar⁴

Affiliation:

1. Brandon University,Department of Computer Science,Brandon,Canada

2. University of Northern British Columbia Prince,Department of Computer Science,George,Canada

3. University of Winnipeg,Department of Applied Computer Science,Winnipeg,Canada

4. Western University,Department of Computer Science,London,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10323591/10323546/10323616.pdf?arnumber=10323616

Reference21 articles.

1. Semi-Supervised Encrypted Traffic Classification With Deep Convolutional Generative Adversarial Networks

2. Real-valued (medical) time series generation with recurrent conditional gans;esteban;ArXiv Preprint,2017

3. Evaluation of GAN Applicability for Intrusion Detection in Self-Organizing Networks of Cyber Physical Systems

4. Firefly algorithm based feature selection for network intrusion detection;selvakumar;Computers & Security,2019

5. Can GAN-Generated Network Traffic be used to Train Traffic Anomaly Classifiers?

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Benchmarking of synthetic network data: Reviewing challenges and approaches;Computers & Security;2024-10

2. Geração de Dados de Ataque em Internet das Coisas utilizando Redes Generativas Adversárias;Anais do VIII Workshop de Computação Urbana (CoUrb 2024);2024-05-20

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