Bruno Bogaz Zarpelao
Bruno Bogaz Zarpelao
Associate Professor, Computer Science Department, State University of Londrina (UEL), Brazil
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Citado por
A survey of intrusion detection in Internet of Things
BB Zarpelão, RS Miani, CT Kawakani, SC De Alvarenga
Journal of Network and Computer Applications 84, 25-37, 2017
Authorship verification applied to detection of compromised accounts on online social networks: A continuous approach
S Barbon, RA Igawa, B Bogaz Zarpelão
Multimedia Tools and Applications 76, 3213-3233, 2017
IoTDS: A one-class classification approach to detect botnets in Internet of Things devices
VH Bezerra, VGT da Costa, S Barbon Junior, RS Miani, BB Zarpelão
Sensors 19 (14), 3188, 2019
Modelling the spread of botnet malware in IoT‐based wireless sensor networks
D Acarali, M Rajarajan, N Komninos, BB Zarpelão
Security and Communication Networks 2019 (1), 3745619, 2019
Anomaly detection using baseline and k-means clustering
MF Lima, BB Zarpelao, LDH Sampaio, JJPC Rodrigues, T Abrao, ...
SoftCOM 2010, 18th International Conference on Software, Telecommunications …, 2010
Process mining and hierarchical clustering to help intrusion alert visualization
SC De Alvarenga, S Barbon Jr, RS Miani, M Cukier, BB Zarpelão
Computers & Security 73, 474-491, 2018
Information and telecommunications project for a digital city: a Brazilian case study
DA Rezende, G dos Santos Madeira, L de Souza Mendes, GD Breda, ...
Telematics and Informatics 31 (1), 98-114, 2014
Providing IoT host-based datasets for intrusion detection research∗
VH Bezerra, VGT da Costa, RA Martins, SB Junior, RS Miani, BB Zarpelao
Anais do XVIII Simpósio Brasileiro de Segurança da Informaçao e de Sistemas …, 2018
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
Detecting mobile botnets through machine learning and system calls analysis
VGT da Costa, S Barbon, RS Miani, JJPC Rodrigues, BB Zarpelão
2017 IEEE International Conference on Communications (ICC), 1-6, 2017
Recognition of compromised accounts on twitter
R Igawa, A Almeida, B Zarpelao
Anais do XI Simpósio Brasileiro de Sistemas de Informaçao, 9-14, 2015
Anomaly detection for network servers using digital signature of network segment
ML Proença, BB Zarpelão, LS Mendes
Advanced Industrial Conference on Telecommunications/Service Assurance with …, 2005
Intrusion alert correlation to support security management
CT Kawakani, SB Junior, RS Miani, M Cukier, BB Zarpelão
Anais do XII Simpósio Brasileiro de Sistemas de Informação, 313-320, 2016
One-class classification to detect botnets in IoT devices∗
VH Bezerra, VGT da Costa, SB Junior, RS Miani, BB Zarpelao
Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais …, 2018
Anomaly detection aiming pro-active management of computer network based on digital signature of network segment
BB Zarpelão, LS Mendes, ML Proença Jr
Journal of Network and Systems Management 15, 267-283, 2007
Detection of bitcoin-based botnets using a one-class classifier
BB Zarpelão, RS Miani, M Rajarajan
IFIP international conference on information security theory and practice …, 2018
Ubiquitous monitoring solution for Wireless Sensor Networks with push notifications and end-to-end connectivity
LML Oliveira, JJPC Rodrigues, AGF Elias, BB Zarpelão
Mobile information systems 10 (1), 19-35, 2014
Inference of network anomaly propagation using spatio-temporal correlation
AA Amaral, BB Zarpelão, L de Souza Mendes, JJPC Rodrigues, ...
Journal of Network and Computer Applications 35 (6), 1781-1792, 2012
Time series segmentation based on stationarity analysis to improve new samples prediction
RP Silva, BB Zarpelão, A Cano, SB Junior
Sensors 21 (21), 7333, 2021
Parameterized anomaly detection system with automatic configuration
BB Zarpelão, LS Mendes, ML Proença Jr, JJPC Rodrigues
GLOBECOM 2009-2009 IEEE Global Telecommunications Conference, 1-6, 2009
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