Name
Affiliation
Papers
BRUNO BOGAZ ZARPELÃO
School of Electrical and Computer Engineering, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
24
Collaborators
Citations 
PageRank 
42
98
10.59
Referers 
Referees 
References 
348
629
223
Search Limit
100629
Title
Citations
PageRank
Year
Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction00.342021
Evaluating the Four-way Performance Trade-off for Data Stream Classification in Edge Computing00.342020
Modelling the Spread of Botnet Malware in IoT-Based Wireless Sensor Networks.10.352019
Mobile botnets detection based on machine learning over system calls.00.342019
IoTDS: A One-Class Classification Approach to Detect Botnets in Internet of Things Devices.20.412019
Process mining and hierarchical clustering to help intrusion alert visualization.20.382018
Detection of Bitcoin-Based Botnets Using a One-Class Classifier.00.342018
A survey of intrusion detection in Internet of Things.611.872017
Authorship verification applied to detection of compromised accounts on online social networks - A continuous approach.00.342017
Detecting Mobile Botnets Through Machine Learning And System Calls Analysis20.372017
Deep IP flow inspection to detect beyond network anomalies.50.402017
A Practical Experience on Evaluating Intrusion Prevention System Event Data as Indicators of Security Issues10.362015
A notification architecture for smart cities based on push technologies.20.352014
Information and Telecommunications Project for a Digital City: A Brazilian case study30.472014
Construction Of Baselines For Voip Traffic Management On Open Mans30.432013
Network Anomaly Detection by IP Flow Graph Analysis: A DDoS Attack Case Study.00.342013
Relationships between information security metrics: an empirical study30.392013
New Approaches for XML Data Compression.10.422012
Inference of network anomaly propagation using spatio-temporal correlation50.502012
A new approach for fuzzy classification in relational databases00.342011
Networking Anomaly Detection Using DSNs and Particle Swarm Optimization with Re-Clustering00.342010
Anomaly Detection Using DSNS and a Dependency Graph for SNMP Objects00.342008
Metrics Application in Metropolitan Broadband Access Network Security Analysis10.412008
Anomaly Detection Aiming Pro-Active Management of Computer Network Based on Digital Signature of Network Segment60.452005