Daniel M. Brandão Lent

According to our database, Daniel M. Brandão Lent authored at least 6 papers between 2022 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

Explainable AI Feature Selection in Generative Adversarial Networks System aiming to detect DDoS Attacks.

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

Proceedings of the 11th International Conference on Software Defined Systems, 2024

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