Analyzing DDoS Attack Classification with Data Imbalance Using Generative Adversarial Networks-Reference-Cited by-同舟云学术

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Analyzing DDoS Attack Classification with Data Imbalance Using Generative Adversarial Networks

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Latin-American Conference on Communications (LATINCOM)
language:
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Author:

Acosta-Tejada Danny E¹,Sanchez-Galan Javier E.²,Torres-Batista Nelliud³

Affiliation:

1. Polytechnic University of Puerto Rico,Computer Engineering and Computer Science,San Juan,Puerto Rico

2. Ingenieria de Sist. Computacionales, Universidad Tecnologica de Panamá,Panamá City,Panamá

3. Polytechnic University of Puerto Rico,Engineering and Computer Science,San Juan,Puerto Rico

Funder

Secretaría Nacional de Ciencia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10361847/10361848/10361882.pdf?arnumber=10361882

Reference26 articles.

1. Mission-Centric Automated Cyber Red Teaming

2. Towards sparse hierarchical graph classifiers;Cangea;arXiv preprint,2018

3. A New Mimicking Attack by LSGAN

4. Denial of service attack detection through machine learning for the IoT

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