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Correlating Alerts for DDoS Attack Prediction

Grant number: 25/01622-2
Support Opportunities:Scholarships in Brazil - Scientific Initiation
Start date: April 01, 2025
End date: March 31, 2026
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal Investigator:Michele Nogueira Lima
Grantee:Lucas Albano Olive Cruz
Host Institution: Instituto de Ciências Exatas (ICEx). Universidade Federal de Minas Gerais (UFMG). Ministério da Educação (Brasil). 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

Alert correlation is an essential advance to improve the prediction and detection of cyberattacks. With the development of several intrusion detection systems, the alerts generated often present distinct formats, different acquisition times, and a high volume of data, which makes correlation a challenge. However, integrating these sources can enrich the information base, enabling a more accurate and efficient analysis through prediction and detection mechanisms. Thus, this scientific initiation project proposes to investigate methods to correlate heterogeneous alerts, focusing on overcoming the technical challenges and on the practical application of this approach for DDoS attack prediction within the context of the MENTORED project.

News published in Agência FAPESP Newsletter about the scholarship:
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