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Luiz Fernando Carvalho
Luiz Fernando Carvalho
Verified email at utfpr.edu.br
Title
Cited by
Cited by
Year
Network anomaly detection system using genetic algorithm and fuzzy logic
AH Hamamoto, LF Carvalho, LDH Sampaio, T Abrão, ML Proença Jr
Expert Systems with Applications 92, 390-402, 2018
1942018
A comprehensive survey on network anomaly detection
G Fernandes, JJPC Rodrigues, LF Carvalho, JF Al-Muhtadi, ML Proença
Telecommunication Systems 70 (3), 447-489, 2019
1812019
Network anomaly detection using IP flows with principal component analysis and ant colony optimization
G Fernandes Jr, LF Carvalho, JJPC Rodrigues, ML Proença Jr
Journal of Network and Computer Applications 64, 1-11, 2016
742016
An ecosystem for anomaly detection and mitigation in software-defined networking
LF Carvalho, T Abrão, L de Souza Mendes, ML Proença Jr
Expert Systems with Applications 104, 121-133, 2018
482018
Long Short-Term Memory and Fuzzy Logic for Anomaly Detection and Mitigation in Software-Defined Network Environment
MP Novaes, LF Carvalho, J Lloret, ML Proença
IEEE Access 8, 83765-83781, 2020
462020
Near real-time security system applied to SDN environments in IoT networks using convolutional neural network
MVO de Assis, LF Carvalho, JJPC Rodrigues, J Lloret, ML Proença Jr
Computers & Electrical Engineering 86, 106738, 2020
372020
Holt-winters statistical forecasting and aco metaheuristic for traffic characterization
MVO de Assis, LF Carvalho, JJPC Rodrigues, ML Proença
2013 IEEE international conference on communications (ICC), 2524-2528, 2013
262013
Unsupervised learning clustering and self-organized agents applied to help network management
LF Carvalho, S Barbon Jr, L de Souza Mendes, ML Proença Jr
Expert Systems with Applications 54, 29-47, 2016
252016
Fast Defense System Against Attacks in Software Defined Networks
MVO De Assis, MP Novaes, CB Zerbini, LF Carvalho, T Abrãao, ...
IEEE Access 6, 69620-69639, 2018
232018
Anomaly detection using the correlational paraconsistent machine with digital signatures of network segment
EHM Pena, LF Carvalho, S Barbon Jr, JJPC Rodrigues, ML Proença Jr
Information Sciences 420, 313-328, 2017
232017
A GRU deep learning system against attacks in software defined networks
MVO Assis, LF Carvalho, J Lloret, ML Proença Jr
Journal of Network and Computer Applications 177, 102942, 2021
222021
Adversarial Deep Learning approach detection and defense against DDoS attacks in SDN environments
MP Novaes, LF Carvalho, J Lloret, ML Proença Jr
Future Generation Computer Systems 125, 156-167, 2021
192021
A novel anomaly detection system to assist network management in SDN environment
LF Carvalho, G Fernandes, JJPC Rodrigues, LS Mendes, ML Proença
2017 IEEE International Conference on Communications (ICC), 1-6, 2017
172017
Digital signature of network segment for healthcare environments support
LF Carvalho, G Fernandes Jr, MVO De Assis, J Rodrigues, ML Proença Jr
Irbm 35 (6), 299-309, 2014
152014
Artificial Immune Systems and Fuzzy Logic to Detect Flooding Attacks in Software-defined networks
GF Scaranti, LF Carvalho, S Barbon, ML Proença
IEEE Access, 2020
132020
ACO and GA metaheuristics for anomaly detection
AH Hamamoto, LF Carvalho, ML Proenca
2015 34th International Conference of the Chilean Computer Science Society …, 2015
132015
Wavelet against random forest for anomaly mitigation in software-defined networking
CB Zerbini, LF Carvalho, T Abrao, ML Proença Jr
Applied Soft Computing 80, 138-153, 2019
122019
Digital signature to help network management using flow analysis
ML Proença Jr, G Fernandes Jr, LF Carvalho, MVO de Assis, ...
International Journal of Network Management 26 (2), 76-94, 2016
92016
Correlational paraconsistent machine for anomaly detection
EHM Pena, LF Carvalho, S Barbon, JJPC Rodrigues, ML Proença
2014 IEEE global communications conference, 551-556, 2014
82014
Using ant colony optimization metaheuristic and dynamic time warping for anomaly detection
LF Carvalho, JJPC Rodrigues, S Barbon, ML Proença
2013 21st International Conference on Software, Telecommunications and …, 2013
82013
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