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

Abstract

A atual proposta visa cumprir um dos objetivos do projeto MENTORED, especificamente a modelagem da predição deataques DDoS usando a teoria dos sinais precoces de alerta e a predição de ataques DDoS do tipo zero-day. (AU)

Scientific publications

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

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)