CATRACA GTA/UFRJ
Network Traffic Security Analysis for Big Data
CATRACA provides a user-friendly dashboard to visualize traffic statistics and real-time network behavior.
Real-time Machine Learning Classification
CATRACA offers a range of machine learning algorithms for both online and offline traffic classification.
Scalability and Stream Processing
CATRACA uses open source platforms such as: Elasticsearch, Hadoop, and Apache Spark to provide scalable traffic analysis. It aims to analyze high volume traffic required for Internet of things and smart city applications.
CATRACA on a nutshell
Main technologies
involved in Catraca
Origins of detected attacks
Bandwidth of the classified traffic
TCP statistics used in attacks
Would you like to see more? Install Catraca and check out the available Tutorial!
About Us
We are an academic and scientific group of Federal University of Rio de Janeiro, doing research in the area of Electronics and Computer Science. Our team is composed by a PhD Professor, a Postdoctoral researcher, PhD students, Master's students and Undergraduate students. Our main research topics include Computer Networks, Virtualization, Network Security, Machine Learning, Stream Processing, and Blockchain.
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