Empowering DDoS Attack Prediction through Machine Learning and Deep Learning
Date and Time
Location
Hosts
Registration
- Start time: 21 Oct 2024 11:30 AM
- End time: 22 Oct 2024 01:00 PM
- All times are (UTC-05:00) Bogota
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- Av. 12 de octubre.
- Quito, Pichincha
- Ecuador
- Building: Sala de Grados FIE, Edificio 16
- Room Number: Planta Baja, EPN
Speakers
Michele Nogueira
Empowering DDoS Attack Prediction through Machine Learning and Deep Learning
Biography:
Michele Nogueira is an Associate Professor in the Computer Science Department at Federal University of Minas Gerais (UFMG), Brazil. She received her doctorate in Computer Science from the University Pierre et Marie Curie – Sorbonne Université, France. She was on a sabbatical leave at Carnegie Mellon University, USA (2016-2017). Her research interests include wireless networks, network security and dependability. She has worked on providing resilience to self-organized, cognitive and wireless networks by adaptive and opportunistic approaches. Today, her research focuses on creating network security intelligence supported by data science. Dr. Nogueira was one of the pioneers in addressing survivability issues in self-organized wireless networks, being the work “A Survey of Survivability in Mobile Ad Hoc Networks”, one of her prominent scientific contributions. She has been a recipient of Academic Scholarships from Brazilian Government in her undergraduate and graduate years, and of international grants such as from the ACM SIGCOMM Geodiversity program. She served as Associate Technical Editor for the IEEE Communications Magazine. She served as chair for the IEEE ComSoc Internet Technical Committee. She is an ACM and IEEE Senior Member.
Address:Brazil