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 | 350 | 2019 |
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 | 284 | 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 | 118 | 2020 |
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 | 112 | 2021 |
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 | 104 | 2020 |
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 | 98 | 2021 |
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 | 89 | 2016 |
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 | 81 | 2013 |
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 | 79 | 2017 |
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 | 77 | 2018 |
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 | 66 | 2011 |
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 | 62 | 2016 |
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 | 57 | 2010 |
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 | 51 | 2015 |
AdaptWeb: an adaptive web-based courseware V Freitas, VP Marçal, I Gasparini, MA Amaral, ML Proenca, MAC Brunetto ICTE, Badajoz, Espanha, 2002 | 51 | 2002 |
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 | 43 | 2017 |
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 | 42 | 2018 |
A seven-dimensional flow analysis to help autonomous network management MVO de Assis, JJPC Rodrigues, ML Proenca Jr Information Sciences 278, 900-913, 2014 | 40 | 2014 |
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 | 38 | 2018 |
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 | 37 | 2014 |