Speaker
Prof.
Marcos Fagundes Caetano
(University of Brasília / GigaCandanga)
Description
Due to the impact and recurrence of cyberattacks over the last years, cybersecurity has been a relevant concern for society. Timely detecting cyberattacks on Metropolitan Research and Education Networks (MRENs) may play an important role in protecting networks and systems. The GigaSOC project aims to apply machine learning and big-data technologies to store and process network flows in order to detect attacks against the backbone and against networks connected to the MREN. Network flows are extracted on routers and sent to a collector system which stores data into a NoSQL database. Flows are used to provide network visibility and also are submitted to IDS system.
Primary authors
Dr
Lucas R. Costa
(GigaCandanga)
Prof.
Marcos Fagundes Caetano
(University of Brasília / GigaCandanga)
Paulo Angelo Alves Resende
(GigaCandanga)
