Mario Lemes Proença Jr.
Mario Lemes Proença Jr.
Professor of Computer Science @ State University of Londrina (UEL) Brazil
Verified email at - Homepage
Cited by
Cited by
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
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
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
A mobile health monitoring solution for weight control
IM Lopes, BM Silva, JJPC Rodrigues, J Lloret, ML Proença Jr
Wireless Communications and Signal Processing (WCSP), 2011 International …, 2011
A game theoretical based system using holt-winters and genetic algorithm with fuzzy logic for DoS/DDoS mitigation on SDN networks
MVO De Assis, AH Hamamoto, T Abrão, ML Proença
IEEE Access 5, 9485-9496, 2017
Anomaly detection using forecasting methods arima and hwds
EHM Pena, MVO de Assis, ML Proença
2013 32nd International Conference of the Chilean Computer Science Society …, 2013
Account classification in online social networks with LBCA and wavelets
RA Igawa, S Barbon Jr, KCS Paulo, GS Kido, RC Guido, MLP Júnior, ...
Information Sciences 332, 72-83, 2016
AdaptWeb: an adaptive web-based courseware
V Freitas, VP Marçal, I Gasparini, MA Amaral, ML Proenca, MAC Brunetto
ICTE, Badajoz, Espanha, 2002
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
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
Autonomous profile-based anomaly detection system using principal component analysis and flow analysis
G Fernandes Jr, JJPC Rodrigues, ML Proenca Jr
Applied Soft Computing 34, 513-525, 2015
Anomaly detection using baseline and K-means clustering
MF Lima, BB Zarpelao, LDH Sampaio, JJPC Rodrigues, T Abrao, ...
Software, Telecommunications and Computer Networks (SoftCOM), 2010 …, 2010
Deep IP flow inspection to detect beyond network anomalies
AA Amaral, L de Souza Mendes, BB Zarpelão, MLP Junior
Computer Communications 98, 80-96, 2017
A seven-dimensional flow analysis to help autonomous network management
MVO de Assis, JJPC Rodrigues, ML Proenca Jr
Information Sciences 278, 900-913, 2014
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
Anomaly detection using digital signature of network segment with adaptive ARIMA model and Paraconsistent Logic
EHM Pena, S Barbon, JJPC Rodrigues, ML Proença
2014 IEEE Symposium on Computers and Communications (ISCC), 1-6, 2014
Baseline to help with network management
ML Proença Jr, C Coppelmans, M Bottoli, L de Souza Mendes
e-Business and Telecommunication Networks, 158-166, 2006
Adaptweb: um ambiente para ensino-aprendizagem adaptativo na Web
JPM Oliveira, MAOC Brunetto, ML Proenca Junior, MS Pimenta, ...
Educar em revista. Curitiba. Nesp (2003), p. 175-197, 2003
Detection of human, legitimate bot, and malicious bot in online social networks based on wavelets
SB Jr, GFC Campos, GM Tavares, RA Igawa, MLP Jr, RC Guido
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2018
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
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