Course 2024-2025

Data analysis for cybersecurity [ICYBM201]

  • 5 credits
  • 30h+15h
  • 1st quarter
Language of instruction: English

Learning outcomes

Managing data in a cybersecurity context: networking, database, machine learning. Understanding the link between performance and security in various contexts.

 

Objectives

The student is expected to

- Better understand the context and reasons that lead to existing attacks against service availability, and existing defenses.

- Better understand how to handle data. How to safely expose them, and what limit existing techniques have.

- Undestanding the difference between machine learning applied to computer security versus computer security applied to machine learning.

- Gaining knowledge on Pervasive Monitoring (Mass surveillance), and how to defend against it.

- Understanding the intrication between the performance and security of the Web.
 

Content

The course covers and studies the performance and security of systems in which
a lot of data is managed. It ranges from company networks expecting to
establish a secure architecture handling Gb/s of traffic, to safely exposing
data online while ensuring modern security definitions for privacy. The course
also contains alternative directions to the existing Internet architecture, and
compare benefits and issues. Among them, Onion services and cesorship resistance

We will also explore machine learning applied to detection intrusion, and cover
the pitfalls.


Teaching methods

The pedagogical approach mixes classical courses with inverted classes. The students will dig deeper in one of the subjects of the course and discuss in class what they learned. One project will also be given.

Evaluations

The course evaluation will be based either:

- on the project, on participation in the class, and on the quality of the material given in the inverted classes.

- on the project and on a written or oral examination in session.

Language of instruction

English

Location for course

NAMUR

Organizer

Faculté d'informatique
rue Grandgagnage 21
5000 NAMUR
P. 081725252
F. 081724967
secretariat.info@unamur.be

Degree of Reference

Master's Degree