Long Short-Term Memory and Fuzzy Logic for Anomaly Detection and Mitigation in Software-Defined Network Environment-Reference-Cited by-同舟云学术

Long Short-Term Memory and Fuzzy Logic for Anomaly Detection and Mitigation in Software-Defined Network Environment

Published:2020 Issue: Volume:8 Page:83765-83781
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Novaes Matheus P.^ORCID,Carvalho Luiz F.^ORCID,Lloret Jaime^ORCID,Proenca Mario Lemes^ORCID

Funder

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

SETI/Fundação Araucária due to the concession of scholarships

Ministerio de Economía y Competitividad through the Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia, Subprograma Estatal de Generación de Conocimiento

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09085352.pdf?arnumber=9085352

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