An Unsupervised Generative Adversarial Network System to Detect DDoS Attacks in SDN-Reference-Cited by-同舟云学术

An Unsupervised Generative Adversarial Network System to Detect DDoS Attacks in SDN

Published:2024 Issue: Volume:12 Page:70690-70706
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Brandão Lent Daniel M.¹^ORCID,da Silva Ruffo Vitor G.²^ORCID,Carvalho Luiz F.³^ORCID,Lloret Jaime⁴^ORCID,Rodrigues Joel J. P. C.⁵^ORCID,Lemes Proença Mario²^ORCID

Affiliation:

1. Electrical Engineering Department, State University of Londrina, Londrina, Brazil

2. Computer Science Department, State University of Londrina, Londrina, Brazil

3. Department of Computer Engineering, Federal Technology University of Paraná, Apucarana, Brazil

4. Integrated Management Coastal Research Institute, Polytechnic University of Valencia, Valencia, Spain

5. Superior School of Technology, Amazonas State University, Manaus, Brazil

Funder

National Council for Scientific and Technological Development (CNPq) of Brazil

Coordination for the Improvement of Higher Education Personnel Foundation of Brazil

Superintendency of Science, Technology and Higher Education (SETI) and the State University of Londrina [Pró-Reitoria de Pesquisa e Pós-Graduação (PROPPG)]

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10531741.pdf?arnumber=10531741

Reference60 articles.

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4. Software-Defined Networking approaches for intrusion response in Industrial Control Systems: A survey

5. Software-Defined Wireless Sensor Network: A Comprehensive Survey

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