Bruno Bogaz Zarpelao
Bruno Bogaz Zarpelao
Associate Professor, Computer Science Department, State University of Londrina (UEL), Brazil
Verified email at - Homepage
Cited by
Cited by
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
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
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, 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
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
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
Recognition of compromised accounts on twitter
R Igawa, A Almeida, B Zarpelao
Anais do XI Simpósio Brasileiro de Sistemas de Informaçao, 9-14, 2015
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
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
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
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
One-class classification to detect botnets in IoT devices∗
VH Bezerra, VGT da Costa, SB Junior, RS Miani, BB Zarpelao
Anais do XVIII Simpósio Brasileiro de Segurança da Informação e de Sistemas …, 2018
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
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
Detection of bitcoin-based botnets using a one-class classifier
BB Zarpelão, RS Miani, M Rajarajan
Information Security Theory and Practice: 12th IFIP WG 11.2 International …, 2019
A ubiquitous model for wireless sensor networks monitoring
AGF Elias, JJPC Rodrigues, LML Oliveira, BB Zarpelão
2012 Sixth International Conference on Innovative Mobile and Internet …, 2012
The system can't perform the operation now. Try again later.
Articles 1–20