Early Warning Signals Engineering for Predicting DDoS Attacks

• Grant number: 23/13773-0
• Support Opportunities: Scholarships in Brazil - Technical Training Program - Technical Training
• Start date: November 01, 2023
• End date: May 31, 2024
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Agreement: MCTI/MC
• Principal Investigator: Michele Nogueira Lima
• Grantee: Anderson Bergamini de Neira
• Host Institution: Instituto de Ciências Exatas (ICEx). Universidade Federal de Minas Gerais (UFMG). Belo Horizonte , SP, Brazil
• 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)

DE NEIRA, ANDERSON B.; BORGES, LIGIA F.; BATISTA, DANIEL M.; NOGUEIRA, MICHELE. Unsupervised AutoML and Dimensionality Reduction for Autonomous DDoS Attack Prediction. 2024 IEEE LATIN-AMERICAN CONFERENCE ON COMMUNICATIONS, LATINCOM, v. N/A, p. 6-pg., 2024-01-01. (23/13773-0, 21/06995-0, 22/06840-0, 14/50937-1, 15/24485-9)