Luiz Fernando Carvalho

Orcid: 0000-0002-3982-0917

Affiliations:
  • Federal University of Technology - Paraná, Brazil
  • State University of Londrina, Brazil


According to our database1, Luiz Fernando Carvalho authored at least 26 papers between 2012 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Bibliography

2022
Unsupervised online anomaly detection in Software Defined Network environments.
Expert Syst. Appl., 2022

A Gated Recurrent Unit Deep Learning Model to Detect and Mitigate Distributed Denial of Service and Portscan Attacks.
IEEE Access, 2022

2021
A GRU deep learning system against attacks in software defined networks.
J. Netw. Comput. Appl., 2021

Adversarial Deep Learning approach detection and defense against DDoS attacks in SDN environments.
Future Gener. Comput. Syst., 2021

2020
Near real-time security system applied to SDN environments in IoT networks using convolutional neural network.
Comput. Electr. Eng., 2020

Artificial Immune Systems and Fuzzy Logic to Detect Flooding Attacks in Software-Defined Networks.
IEEE Access, 2020

Long Short-Term Memory and Fuzzy Logic for Anomaly Detection and Mitigation in Software-Defined Network Environment.
IEEE Access, 2020

2019
A comprehensive survey on network anomaly detection.
Telecommun. Syst., 2019

Wavelet against random forest for anomaly mitigation in software-defined networking.
Appl. Soft Comput., 2019

2018
Network Anomaly Detection System using Genetic Algorithm and Fuzzy Logic.
Expert Syst. Appl., 2018

An ecosystem for anomaly detection and mitigation in software-defined networking.
Expert Syst. Appl., 2018

Fast Defense System Against Attacks in Software Defined Networks.
IEEE Access, 2018

2017
Anomaly detection using the correlational paraconsistent machine with digital signatures of network segment.
Inf. Sci., 2017

A novel anomaly detection system to assist network management in SDN environment.
Proceedings of the IEEE International Conference on Communications, 2017

2016
Network anomaly detection using IP flows with Principal Component Analysis and Ant Colony Optimization.
J. Netw. Comput. Appl., 2016

Digital signature to help network management using flow analysis.
Int. J. Netw. Manag., 2016

Unsupervised learning clustering and self-organized agents applied to help network management.
Expert Syst. Appl., 2016

2015
ACO and GA metaheuristics for anomaly detection.
Proceedings of the 34th International Conference of the Chilean Computer Science Society, 2015

Statistical, forecasting and metaheuristic techniques for network anomaly detection.
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.
Proceedings of the 33rd International Conference of the Chilean Computer Science Society, 2014

Correlational paraconsistent machine for anomaly detection.
Proceedings of the IEEE Global Communications Conference, 2014

2013
Using Ant Colony Optimization metaheuristic and Dynamic Time Warping for anomaly detection.
Proceedings of the 21st International Conference on Software, 2013

Holt-Winters statistical forecasting and ACO metaheuristic for traffic characterization.
Proceedings of IEEE International Conference on Communications, 2013

Digital Signature of Network Segment using PCA, ACO and Holt-Winters for network management.
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.
Proceedings of the 31st International Conference of the Chilean Computer Science Society, 2012

Digital Signature of Network Segment using Flow Analysis.
Proceedings of the DCNET, ICE-B and OPTICS 2012, 2012


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