| Nombre del curso: | Data Science For Cybersecurity |
|---|---|
| Créditos: | 4 |
| Profesor: | Michele Nogueira |
| Horario: | Virtual: 2 al 6 de julio. Horario: 6:30 AM a 10:00 AM |
| Virtual: 12 de julio. Horario: 7:00 AM a 9:00 AM | |
| Presencial: 22 al 26 de julio. Horario: 06:00 PM a 08:50 PM | |
| Presencial: 27 de julio. Horario: 8:00 AM a 12:00 PM |
Descripción
This course aims at preparing the students to handle the massive shifts in technology and operations, driven by data science, that cybersecurity is undergoing. It will overview how to extract security incident patterns (or insights) from cybersecurity data and build corresponding data-driven models, two key aspects to make security systems automated and intelligent. This course starts briefly overviewing the motivation and concepts of cybersecurity and data science, next it presents the relevant methods/technologies to understand the applicability of cybersecurity data science towards data-driven intelligent decision-making in cybersecurity, the main approaches for security data gathering and preparing, a discussion on different machine learning and statistical learning tasks in cybersecurity, multi-layered frameworks for smart cybersecurity services, cybersecurity testbeds and datasets. This course is enriched with real case studies and the students will be able to prepare their main hands-on projects to put in practice their knowledge.
Objetivos
Successful students will be able to:
- have a clear overview about cybersecurity concepts, data science and the application of data science to different context of cybersecurity;
- understand the challenges and directions in cybersecurity considering the Internet of things (IoT) context and the application of data science;
- understand the security challenges and existing security mechanisms against security threats in cloud computing using data science;
- have a strong comprehension about the application and the potential of artificial intelligence and data science to cybersecurity.
Temas
Successful students will be able to:
- Introduction to Cybersecurity
- Introduction to Cybersecurity
- Data Visualization
- Network and System Protection
- Artificial Intelligence and Machine Learning applied to cybersecurity
- Data preprocessing
- Case studies in Cybersecurity
Michele Nogueira
Michele Nogueira 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.
Her research focuses on network security, resilience, network management, and wireless and advanced networks, with an emphasis on building security science, cognitive networks, and predictive models. Body of research work includes areas as the Internet of Things (IoT), Cyber-Human Systems (CHS), cognitive radios, ad hoc networks, software-defined networks, vehicular networks, DDoS attacks mitigation and prediction, and survivability.
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.