Explainable AI Feature Selection in Generative Adversarial Networks System aiming to detect DDoS Attacks. - Mateus Komarchesqui; Daniel M. Brandão Lent; Vitor Gabriel Da Silva Ruffo; Luiz Fernando Carvalho; Jaime Lloret 001; Mario Lemes Proença Jr. (SDS, 2024)

Unsupervised DDoS Detection Using Entropy Features and f-AnoGAN in Software-Defined Networks. - Vitor Gabriel Da Silva Ruffo; Luiz Fernando Carvalho; Jaime Lloret 001; Mario Lemes Proença Jr. (SDS, 2024)

An Unsupervised Generative Adversarial Network System to Detect DDoS Attacks in SDN. - Daniel M. Brandão Lent; Vitor Gabriel Da Silva Ruffo; Luiz Fernando Carvalho; Jaime Lloret 001; Joel J. P. C. Rodrigues; Mario Lemes Proença Jr. (IEEE Access, 2024)

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

Generative Adversarial Network Models for Anomaly Detection in Software-Defined Networks. - Alexandro Marcelo Zacaron; Daniel M. Brandão Lent; Vitor Gabriel Da Silva Ruffo; Luiz Fernando Carvalho; Mario Lemes Proença Jr. (J. Netw. Syst. Manag., 2024)

Generative adversarial networks to detect intrusion and anomaly in IP flow-based networks. - Vitor Gabriel Da Silva Ruffo; Daniel M. Brandão Lent; Luiz Fernando Carvalho; Jaime Lloret 001; Mario Lemes Proença Jr. (Future Gener. Comput. Syst., 2025)

f-AnoGAN for Unsupervised Attack Detection in SDN Environment. - Vitor Gabriel Da Silva Ruffo; Luiz Fernando Carvalho; Jaime Lloret 001; Mario Lemes Proença Jr. (IEEE Trans. Netw. Sci. Eng., 2025)

A Comprehensive Survey on Concept-Drift-Resilient Network Intrusion Detection Systems. - Mateus Komarchesqui; Vitor Gabriel Da Silva Ruffo; Daniel M. Brandão Lent; Vinícius Ferreira Schiavon; Matheus Riki Nakanishi; Gustavo Hideyuki Kitamura Nishikawa; Luiz Fernando Carvalho; Mario Lemes Proença Jr. (IEEE Access, 2026)

eXplainable Artificial Intelligence for Transparent Optimization of Deep Learning-Based Intrusion Detection Systems. - Mateus Komarchesqui; Vitor Gabriel Da Silva Ruffo; Luiz Fernando Carvalho; Mario Lemes Proença Jr. (J. Netw. Syst. Manag., 2026)