The impact of the correlation of heterogeneous sources on botnets and DDoS prediction

• Grant number: 22/06840-0
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: August 01, 2022
• End date: July 31, 2025
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Agreement: MCTI/MC
• Principal Investigator: Michele Nogueira Lima
• Grantee: Ligia Francielle Borges
• 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

Predicting the botnet's formation before DDoS attacks are launched against a target represents a significant contribution to academia and industry. In addition, it would significantly reduce the expense needed to mitigate an ongoing attack and repair a successful attack. The Post-Doc fellow involved in this project will work on correlating heterogeneous sources useful in predicting the formation of botnets and DDoS attacks. It will be necessary to correlate information from open information sources, such as social networks and service logs, with the predictions resulting from applying the Casual Graph Process (CGP) technique. (AU)

Scientific publications

(4)

(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)

DE NEIRA, ANDERSON B.; BORGES, LIGIA F.; ARAUJO, ALEX M.; NOGUEIRA, MICHELE. Unsupervised Feature Engineering Approach to Predict DDoS Attacks. IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, v. N/A, p. 6-pg., 2023-01-01. (22/06840-0, 18/23098-0)

BRITO, DAVI; DE NEIRA, ANDERSON B.; BORGES, LIGIA F.; NOGUEIRA, MICHELE. An Autonomous System for Predicting DDoS Attacks on Local Area Networks and the Internet. 2023 IEEE LATIN-AMERICAN CONFERENCE ON COMMUNICATIONS, LATINCOM, v. N/A, p. 6-pg., 2023-01-01. (22/06840-0, 22/06802-0)

BORGES, LIGIA F.; DE NEIRA, ANDERSON B.; ALBANO, LUCAS; NOGUEIRA, MICHELE. Multifaceted DDoS Attack Prediction by Multivariate Time Series and Ordinal Patterns. 2024 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS, ICC WORKSHOPS 2024, v. N/A, p. 6-pg., 2024-01-01. (22/06840-0, 22/06802-0)