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Luiz Fernando Carvalho
Luiz Fernando Carvalho
Verified email at utfpr.edu.br
Title
Cited by
Cited by
Year
A comprehensive survey on network anomaly detection
G Fernandes, JJPC Rodrigues, LF Carvalho, JF Al-Muhtadi, ML Proença
Telecommunication Systems 70, 447-489, 2019
3262019
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
2712018
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
1072020
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
1012021
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
922020
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
902021
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
872016
An ecosystem for anomaly detection and mitigation in software-defined networking
LF Carvalho, T Abrao, L de Souza Mendes, ML Proença Jr
Expert Systems with Applications 104, 121-133, 2018
752018
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
362018
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
332017
Artificial immune systems and fuzzy logic to detect flooding attacks in software-defined networks
GF Scaranti, LF Carvalho, S Barbon, ML Proença
IEEE Access 8, 100172-100184, 2020
322020
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
322016
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
272013
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
212017
Wavelet against random forest for anomaly mitigation in software-defined networking
CB Zerbini, LF Carvalho, T Abrão, ML Proenca Jr
Applied Soft Computing 80, 138-153, 2019
202019
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
182014
Unsupervised online anomaly detection in Software Defined Network environments
GF Scaranti, LF Carvalho, SB Junior, J Lloret, ML Proença Jr
Expert Systems with Applications 191, 116225, 2022
142022
ACO and GA metaheuristics for anomaly detection
AH Hamamoto, LF Carvalho, ML Proenca
2015 34th International Conference of the Chilean Computer Science Society …, 2015
142015
A gated recurrent unit deep learning model to detect and mitigate distributed denial of service and portscan attacks
DMB Lent, MP Novaes, LF Carvalho, J Lloret, JJPC Rodrigues, ...
IEEE Access 10, 73229-73242, 2022
102022
Digital signature to help network management using flow analysis
ML Proenca Jr, G Fernandes Jr, LF Carvalho, MVO de Assis, ...
International Journal of Network Management 26 (2), 76-94, 2016
102016
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