MENTORED: from modeling to experimentation: predicting and detecting DDoS and zero-day attacks

• Grant number: 20/05884-8
• Support Opportunities: Scholarships in Brazil - Technical Training Program - Technical Training
• Start date: May 01, 2020
• End date: April 30, 2021
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Agreement: MCTI/MC
• Principal Investigator: Michele Nogueira Lima
• Grantee: Nelson Gonçalves Prates Junior
• Host Institution: Setor de Ciências Exatas. Universidade Federal do Paraná (UFPR). Ministério da Educação (Brasil)
• Associated research grant: 18/23098-0 - MENTORED: from modeling to experimentation - predicting and detecting DDoS and zero-day attacks, AP.TEM

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

VERGUTZ, ANDRESSA; PRATES, JR., NELSON G.; SCHWENGBER, BRUNO HENRIQUE; SANTOS, ALDRI; NOGUEIRA, MICHELE. An Architecture for the Performance Management of Smart Healthcare Applications. SENSORS, v. 20, n. 19, OCT 2020. (20/05884-8, 18/23098-0)

SCHWENGBER, BRUNO HENRIQUE; VERGUTZ, ANDRESSA; PRATES JR, NELSON G.; NOGUEIRA, MICHELE. Learning From Network Data Changes for Unsupervised Botnet Detection. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, v. 19, n. 1, p. 13-pg., 2022-03-01. (20/05884-8, 18/23098-0)