Luiz Fernando Carvalho

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 19

Top Topics

Anomaly Detection

Top Venues

Expert Syst. Appl.

J. Netw. Comput. Appl.

Publications

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.
Anomaly and intrusion detection using deep learning for software-defined networks: A survey. Expert Syst. Appl. 256 (2024)
Daniel M. Brandão Lent, Vitor G. da Silva Ruffo, Luiz Fernando Carvalho, Jaime Lloret, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.
An Unsupervised Generative Adversarial Network System to Detect DDoS Attacks in SDN. IEEE Access 12 (2024)
Daniel M. Brandão Lent, Matheus P. Novaes, Luiz Fernando Carvalho, Jaime Lloret, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.
A Gated Recurrent Unit Deep Learning Model to Detect and Mitigate Distributed Denial of Service and Portscan Attacks. IEEE Access 10 (2022)
Gustavo F. Scaranti, Luiz Fernando Carvalho, Sylvio Barbon Junior, Jaime Lloret, Mario Lemes Proença Jr.
Unsupervised online anomaly detection in Software Defined Network environments. Expert Syst. Appl. 191 (2022)
Matheus P. Novaes, Luiz Fernando Carvalho, Jaime Lloret, Mario Lemes Proença Jr.
Adversarial Deep Learning approach detection and defense against DDoS attacks in SDN environments. Future Gener. Comput. Syst. 125 (2021)
Marcos V. O. de Assis, Luiz Fernando Carvalho, Jaime Lloret, Mario Lemes Proença Jr.
A GRU deep learning system against attacks in software defined networks. J. Netw. Comput. Appl. 177 (2021)
Matheus P. Novaes, Luiz Fernando Carvalho, Jaime Lloret, Mario Lemes Proença Jr.
Long Short-Term Memory and Fuzzy Logic for Anomaly Detection and Mitigation in Software-Defined Network Environment. IEEE Access 8 (2020)
Gustavo F. Scaranti, Luiz Fernando Carvalho, Sylvio Barbon, Mario Lemes Proença Jr.
Artificial Immune Systems and Fuzzy Logic to Detect Flooding Attacks in Software-Defined Networks. IEEE Access 8 (2020)
Marcos V. O. de Assis, Luiz Fernando Carvalho, Joel J. P. C. Rodrigues, Jaime Lloret, Mario Lemes Proença Jr.
Near real-time security system applied to SDN environments in IoT networks using convolutional neural network. Comput. Electr. Eng. 86 (2020)
Cinara Brenda Zerbini, Luiz Fernando Carvalho, Taufik Abrão, Mario Lemes Proença Jr.
Wavelet against random forest for anomaly mitigation in software-defined networking. Appl. Soft Comput. 80 (2019)
Gilberto Fernandes Jr., Joel J. P. C. Rodrigues, Luiz Fernando Carvalho, Jalal Al-Muhtadi, Mario Lemes Proença Jr.
A comprehensive survey on network anomaly detection. Telecommun. Syst. 70 (3) (2019)
Luiz Fernando Carvalho, Taufik Abrão, Leonardo de Souza Mendes, Mario Lemes Proença Jr.
An ecosystem for anomaly detection and mitigation in software-defined networking. Expert Syst. Appl. 104 (2018)
Marcos V. O. de Assis, Matheus P. Novaes, Cinara Brenda Zerbini, Luiz Fernando Carvalho, Taufik Abrão, Mario Lemes Proença Jr.
Fast Defense System Against Attacks in Software Defined Networks. IEEE Access 6 (2018)
Anderson H. Hamamoto, Luiz Fernando Carvalho, Lucas Dias Hiera Sampaio, Taufik Abrão, Mario Lemes Proença Jr.
Network Anomaly Detection System using Genetic Algorithm and Fuzzy Logic. Expert Syst. Appl. 92 (2018)
Eduardo H. M. Pena, Luiz Fernando Carvalho, Sylvio Barbon Junior, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.
Anomaly detection using the correlational paraconsistent machine with digital signatures of network segment. Inf. Sci. 420 (2017)
Luiz Fernando Carvalho, Gilberto Fernandes, Joel J. P. C. Rodrigues, Leonardo de Souza Mendes, Mario Lemes Proença Jr.
A novel anomaly detection system to assist network management in SDN environment. ICC (2017)
Luiz Fernando Carvalho, Sylvio Barbon Junior, Leonardo de Souza Mendes, Mario Lemes Proença Jr.
Unsupervised learning clustering and self-organized agents applied to help network management. Expert Syst. Appl. 54 (2016)
Mario Lemes Proença Jr., Gilberto Fernandes Jr., Luiz Fernando Carvalho, Marcos V. O. de Assis, Joel J. P. C. Rodrigues
Digital signature to help network management using flow analysis. Int. J. Netw. Manag. 26 (2) (2016)
Gilberto Fernandes Jr., Luiz Fernando Carvalho, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.
Network anomaly detection using IP flows with Principal Component Analysis and Ant Colony Optimization. J. Netw. Comput. Appl. 64 (2016)
Gilberto Fernandes, Eduardo H. M. Pena, Luiz Fernando Carvalho, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.
Statistical, forecasting and metaheuristic techniques for network anomaly detection. SAC (2015)
Anderson H. Hamamoto, Luiz Fernando Carvalho, Mario Lemes Proença Jr.
ACO and GA metaheuristics for anomaly detection. SCCC (2015)
Eduardo H. M. Pena, Luiz Fernando Carvalho, Sylvio Barbon, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.
Correlational paraconsistent machine for anomaly detection. GLOBECOM (2014)
Paulo R. Galego Hernandes, Luiz Fernando Carvalho, Mario Lemes Proença Jr.
Digital Signature of Network Segment Using Flow Analysis through Genetic Algorithm and ACO Metaheuristics. SCCC (2014)
Luiz Fernando Carvalho, Marcos V. O. de Assis, Gilberto Fernandes, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.
Digital Signature of Network Segment using PCA, ACO and Holt-Winters for network management. Healthcom (2013)
Marcos V. O. de Assis, Luiz Fernando Carvalho, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.
Holt-Winters statistical forecasting and ACO metaheuristic for traffic characterization. ICC (2013)
Luiz Fernando Carvalho, Joel J. P. C. Rodrigues, Sylvio Barbon, Mario Lemes Proença Jr.
Using Ant Colony Optimization metaheuristic and Dynamic Time Warping for anomaly detection. SoftCOM (2013)
Alexandro M. Zacaron, Luiz Fernando Carvalho, Mario H. A. C. Adaniya, Taufik Abrão, Mario Lemes Proença Jr.
Digital Signature of Network Segment using Flow Analysis. DCNET/ICE-B/OPTICS (2012)
Luiz Fernando Carvalho, Alexandro Marcelo Zacaron, Mario Henrique Akihiko da Costa Adaniya, Mario Lemes Proença Jr.
Ant Colony Optimization for Creating Digital Signature of Network Segments Using Flow Analysis. SCCC (2012)