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. (DCNET/ICE-B/OPTICS, 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. (SCCC, 2012)

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. (Healthcom, 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. (ICC, 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. (SoftCOM, 2013)

Correlational paraconsistent machine for anomaly detection. - Eduardo H. M. Pena; Luiz Fernando Carvalho; Sylvio Barbon; Joel J. P. C. Rodrigues; Mario Lemes Proença Jr. (GLOBECOM, 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. (SCCC, 2014)

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. (SAC, 2015)

ACO and GA metaheuristics for anomaly detection. - Anderson H. Hamamoto; Luiz Fernando Carvalho; Mario Lemes Proença Jr. (SCCC, 2015)

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)

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)

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)

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. (ICC, 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)

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)

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)

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)

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)

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)

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 001; Mario Lemes Proença Jr. (IEEE Access, 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)

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 001; Mario Lemes Proença Jr. (Comput. Electr. Eng., 2020)

Adversarial Deep Learning approach detection and defense against DDoS attacks in SDN environments. - Matheus P. Novaes; Luiz Fernando Carvalho; Jaime Lloret 001; Mario Lemes Proença Jr. (Future Gener. Comput. Syst., 2021)

A GRU deep learning system against attacks in software defined networks. - Marcos V. O. de Assis; Luiz Fernando Carvalho; Jaime Lloret 001; Mario Lemes Proença Jr. (J. Netw. Comput. Appl., 2021)

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 001; Joel J. P. C. Rodrigues; Mario Lemes Proença Jr. (IEEE Access, 2022)

Unsupervised online anomaly detection in Software Defined Network environments. - Gustavo F. Scaranti; Luiz Fernando Carvalho; Sylvio Barbon Junior; Jaime Lloret 001; Mario Lemes Proença Jr. (Expert Syst. Appl., 2022)

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 001; Mario Lemes Proença Jr. (SDS, 2024)

Unsupervised DDoS Detection Using Entropy Features and f-AnoGAN in Software-Defined Networks. - Vitor G. 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 G. 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 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)

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., 2024)

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 001; Mario Lemes Proença Jr. (Future Gener. Comput. Syst., 2025)

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