5.00 credits
30.0 h + 15.0 h
Q2
Teacher(s)
Sadre Ramin;
Language
English
> French-friendly
> French-friendly
Main themes
- Forged E-Mail, Spam and Malwares,
- Basics in cryptography,
- Network and Application Vulnerabilities: IT spoofing, session hijacking, exploits, sniffing,
- Firewalls,
- Proxies, IDS, Hacking methods,
- Secure communications,
- Security at the User Level.
Learning outcomes
At the end of this learning unit, the student is able to : | |
1 |
Given the learning outcomes of the "Master in Computer Science and Engineering" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:
Students completing successfully this course will be able to
|
Content
The course provides an introduction to a wide range of security problems linked to computer networks and devices connected to such networks.
We will see the major attack mechanisms (Denial of Service, cache poisoning, XSS, code injection, etc.), as well as defense mechanisms such as encryption, firewalls, and intrusion detection. The latter includes state of the art signature based detection and machine-learning based anomaly detection. In the exercises, you will learn to perform such attacks, how to identify them, and how to secure a system against them.
Some topics addressed in previous years:
We will see the major attack mechanisms (Denial of Service, cache poisoning, XSS, code injection, etc.), as well as defense mechanisms such as encryption, firewalls, and intrusion detection. The latter includes state of the art signature based detection and machine-learning based anomaly detection. In the exercises, you will learn to perform such attacks, how to identify them, and how to secure a system against them.
Some topics addressed in previous years:
- Code injection (including SQL injection and XSS)
- DDoS attacks and reflection
- Network monitoring with netflow and protection with firewalls
- Intrusion detection systems
- Introduction to cryptography and how it is used to secure network communication and DNS
Teaching methods
- Lectures
- Scientific readings
- Practical lab sessions
- Project activities
Evaluation methods
Mode of evaluation for the June session:
The teacher may request a student to go through an additional oral exam as a complement of the exam and/or of the project activities, in cases including, but not limited to, technical issues, or suspicion of irregularities.
- Exam (50% of the final mark)
- Project activities in groups (35% of the final mark)
- Individual project activity (15% of the final mark)
The teacher may request a student to go through an additional oral exam as a complement of the exam and/or of the project activities, in cases including, but not limited to, technical issues, or suspicion of irregularities.
Other information
You will need basic knowledge in network protocols, computer systems, and C programming, for example from the following courses:
- Networks: LINFO1341 or LELEC2920
- Computer systems and C: LINFO1252 or LINFO2241
Online resources
Teams and/or Moodle
Faculty or entity
INFO
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Electrical Engineering
Master [120] in Computer Science and Engineering
Master [120] in Computer Science
Master [120] in Mathematical Engineering
Master [120] in Data Science Engineering
Master [120] in Data Science: Information Technology