CV Lattes
ORCID
Google Scholar Citations
Universidade Federal de Minas Gerais (UFMG). Instituto de Ciências Exatas (ICEx) (Institutional affiliation from the last research proposal) Birthplace: Brazil
bachelor's at Ciências da Computação from Universidade Estadual do Ceará (2001), master's at Ciência da Computação from Universidade Federal de Minas Gerais (2004) and doctorate at Ciência da Computação from Université Pierre et Marie Curie/Laboratoire d'Informatique de Paris 6 (2009). Has experience in Computer Science, acting on the following subjects: segurança de redes, redes sem fio, segurança, survivability and manet. (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
| More itemsLess items |
| TITULO |
| Articles published in other media outlets ( ): |
| More itemsLess items |
| VEICULO: TITULO (DATA) |
| VEICULO: TITULO (DATA) |
The popularization of the Internet and its advances towards the Internet of Things (IoT) and the Internet of Everything (IoE) have raised expectations for new applications and services in different areas. Despite the great opportunities and benefits, these advances in the Internet also open space for great threats and dangers, some which did not exist before. In particular, there is conce…
The use of machine learning techniques has become increasingly popular in the context of cybersecurity, being employed to enhance network security and mitigate the impact of potential attacks. However, artificial intelligence models are also being used to sophisticate attacks, one approach being the generation of adversarial samples and the training of models with them. This raises the ne…
The growing adoption of Internet of Things (IoT) devices has expanded the surface for cyberattacks, making the development of new threat detection approaches essential. This undergraduate research project proposes the integration of Large Language Models (LLMs) into cybersecurity to enhance the identification and potential mitigation of threats in IoT environments. By combining Natural La…
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 a…
(Only some records are available in English at this moment)
Effective prediction and detection of DDoS attacks directly depend on the quality of the information sources used as input for the prediction and detection mechanisms employed. Without a doubt, one of the best sources of information is the network traffic captured on the network interfaces of the protected devices. However, due to recent regulations such as the General Data Protection Reg…
(Only some records are available in English at this moment)
| 1 / 1 | Ongoing grants |
| 9 / 9 | Ongoing scholarships in Brazil |
| 10 / 10 | Completed scholarships in Brazil |
| 20 / 20 | All research grants and scholarships |
| Associated processes | |