Luiz Fernando Carvalho

According to our database, Luiz Fernando Carvalho authored at least 30 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Generative adversarial networks to detect intrusion and anomaly in IP flow-based networks.

Vitor G. da Silva Ruffo, Daniel M. Brandão Lent, Luiz Fernando Carvalho, Jaime Lloret, Mario Lemes Proença Jr.

Future Gener. Comput. Syst., 2025

2024

Generative Adversarial Network Models for Anomaly Detection in Software-Defined Networks.

Alexandro Marcelo Zacaron, Daniel M. Brandão Lent, Vitor G. da Silva Ruffo, Luiz Fernando Carvalho, Mario Lemes Proença Jr.

J. Netw. Syst. Manag., October, 2024

Anomaly and intrusion detection using deep learning for software-defined networks: A survey.

Vitor G. da Silva Ruffo, Daniel M. Brandão Lent, Mateus Komarchesqui, Vinícius Ferreira Schiavon, Marcos Vinicius Oliveira de Assis, Luiz Fernando Carvalho, Mario Lemes Proença Jr.

Expert Syst. Appl., 2024

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

Daniel M. Brandão Lent, Vitor G. da Silva Ruffo, Luiz Fernando Carvalho, Jaime Lloret, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.

IEEE Access, 2024

2022

Unsupervised online anomaly detection in Software Defined Network environments.

Gustavo F. Scaranti, Luiz Fernando Carvalho, Sylvio Barbon Junior, Jaime Lloret, Mario Lemes Proença Jr.

Expert Syst. Appl., 2022

A Gated Recurrent Unit Deep Learning Model to Detect and Mitigate Distributed Denial of Service and Portscan Attacks.

Daniel M. Brandão Lent, Matheus P. Novaes, Luiz Fernando Carvalho, Jaime Lloret, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.

IEEE Access, 2022

2021

A GRU deep learning system against attacks in software defined networks.

Marcos V. O. de Assis, Luiz Fernando Carvalho, Jaime Lloret, Mario Lemes Proença Jr.

J. Netw. Comput. Appl., 2021

Adversarial Deep Learning approach detection and defense against DDoS attacks in SDN environments.

Matheus P. Novaes, Luiz Fernando Carvalho, Jaime Lloret, Mario Lemes Proença Jr.

Future Gener. Comput. Syst., 2021

2020

Near real-time security system applied to SDN environments in IoT networks using convolutional neural network.

Marcos V. O. de Assis, Luiz Fernando Carvalho, Joel J. P. C. Rodrigues, Jaime Lloret, Mario Lemes Proença Jr.

Comput. Electr. Eng., 2020

Artificial Immune Systems and Fuzzy Logic to Detect Flooding Attacks in Software-Defined Networks.

Gustavo F. Scaranti, Luiz Fernando Carvalho, Sylvio Barbon, Mario Lemes Proença Jr.

IEEE Access, 2020

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

Matheus P. Novaes, Luiz Fernando Carvalho, Jaime Lloret, Mario Lemes Proença Jr.

IEEE Access, 2020

2019

A comprehensive survey on network anomaly detection.

Gilberto Fernandes Jr., Joel J. P. C. Rodrigues, Luiz Fernando Carvalho, Jalal Al-Muhtadi, Mario Lemes Proença Jr.

Telecommun. Syst., 2019

Wavelet against random forest for anomaly mitigation in software-defined networking.

Cinara Brenda Zerbini, Luiz Fernando Carvalho, Taufik Abrão, Mario Lemes Proença Jr.

Appl. Soft Comput., 2019

2018

Network Anomaly Detection System using Genetic Algorithm and Fuzzy Logic.

Anderson H. Hamamoto, Luiz Fernando Carvalho, Lucas Dias Hiera Sampaio, Taufik Abrão, Mario Lemes Proença Jr.

Expert Syst. Appl., 2018

An ecosystem for anomaly detection and mitigation in software-defined networking.

Luiz Fernando Carvalho, Taufik Abrão, Leonardo de Souza Mendes, Mario Lemes Proença Jr.

Expert Syst. Appl., 2018

Fast Defense System Against Attacks in Software Defined Networks.

Marcos V. O. de Assis, Matheus P. Novaes, Cinara Brenda Zerbini, Luiz Fernando Carvalho, Taufik Abrão, Mario Lemes Proença Jr.

IEEE Access, 2018

2017

Anomaly detection using the correlational paraconsistent machine with digital signatures of network segment.

Eduardo H. M. Pena, Luiz Fernando Carvalho, Sylvio Barbon Junior, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.

Inf. Sci., 2017

A novel anomaly detection system to assist network management in SDN environment.

Luiz Fernando Carvalho, Gilberto Fernandes, Joel J. P. C. Rodrigues, Leonardo de Souza Mendes, Mario Lemes Proença Jr.

Proceedings of the IEEE International Conference on Communications, 2017

2016

Network anomaly detection using IP flows with Principal Component Analysis and Ant Colony Optimization.

Gilberto Fernandes Jr., Luiz Fernando Carvalho, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.

J. Netw. Comput. Appl., 2016

Digital signature to help network management using flow analysis.

Mario Lemes Proença Jr., Gilberto Fernandes Jr., Luiz Fernando Carvalho, Marcos V. O. de Assis, Joel J. P. C. Rodrigues

Int. J. Netw. Manag., 2016

Unsupervised learning clustering and self-organized agents applied to help network management.

Luiz Fernando Carvalho, Sylvio Barbon Junior, Leonardo de Souza Mendes, Mario Lemes Proença Jr.

Expert Syst. Appl., 2016

2015

ACO and GA metaheuristics for anomaly detection.

Anderson H. Hamamoto, Luiz Fernando Carvalho, Mario Lemes Proença Jr.

Proceedings of the 34th International Conference of the Chilean Computer Science Society, 2015

Statistical, forecasting and metaheuristic techniques for network anomaly detection.

Gilberto Fernandes, Eduardo H. M. Pena, Luiz Fernando Carvalho, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

2014

Digital Signature of Network Segment Using Flow Analysis through Genetic Algorithm and ACO Metaheuristics.

Paulo R. Galego Hernandes, Luiz Fernando Carvalho, Mario Lemes Proença Jr.

Proceedings of the 33rd International Conference of the Chilean Computer Science Society, 2014

Correlational paraconsistent machine for anomaly detection.

Eduardo H. M. Pena, Luiz Fernando Carvalho, Sylvio Barbon, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.

Proceedings of the IEEE Global Communications Conference, 2014

2013

Using Ant Colony Optimization metaheuristic and Dynamic Time Warping for anomaly detection.

Luiz Fernando Carvalho, Joel J. P. C. Rodrigues, Sylvio Barbon, Mario Lemes Proença Jr.

Proceedings of the 21st International Conference on Software, 2013

Holt-Winters statistical forecasting and ACO metaheuristic for traffic characterization.

Marcos V. O. de Assis, Luiz Fernando Carvalho, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.

Proceedings of IEEE International Conference on Communications, 2013

Digital Signature of Network Segment using PCA, ACO and Holt-Winters for network management.

Luiz Fernando Carvalho, Marcos V. O. de Assis, Gilberto Fernandes, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.

Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013

2012

Ant Colony Optimization for Creating Digital Signature of Network Segments Using Flow Analysis.

Luiz Fernando Carvalho, Alexandro Marcelo Zacaron, Mario Henrique Akihiko da Costa Adaniya, Mario Lemes Proença Jr.

Proceedings of the 31st International Conference of the Chilean Computer Science Society, 2012

Digital Signature of Network Segment using Flow Analysis.

Alexandro M. Zacaron, Luiz Fernando Carvalho, Mario H. A. C. Adaniya, Taufik Abrão, Mario Lemes Proença Jr.

Proceedings of the DCNET, ICE-B and OPTICS 2012, 2012