Secured systems engineering

lingi2144  2019-2020  Louvain-la-Neuve

Secured systems engineering
Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
5 credits
30.0 h + 15.0 h
Legay Axel;
Main themes
The goal of this course is to learn how to build a secure application from theory to practice in a production environment. As a case study, we will focus on token-based applications whose primary goal is to ensure authentication.
  • Introduction to cyber security and virology
  • Threat Vulnerabilities and Attack
  • Vulnerability of C language (Buffer overflow, heap, format string) and protections
  • Shell code: write in C / assembler
  • Malware classification
  • Malware detection
  • Static, dynamic and artificial intelligence techniques.

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:
  • INFO1.1-3
  • INFO2.1-5
  • INFO5.2, INFO5.4-5
  • INFO6.1, INFO6.3, INFO6.4
Given the learning outcomes of the "Master [120] in Computer Science" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:
  • SINF1.M1
  • SINF2.1-5
  • SINF5.2, SINF5.4-5
  • SINF6.1, SINF6.3, SINF6.4
Students completing successfully this course will be able to
  • design secure IT systems
  • implement a secure application based on and test the security of existing application
  • Explain the security techniques and tools used in order to convince potential users that these aspects have been properly taken into account.
Students will have developed skills and operational methodology. In particular, they have developed their ability to
  • take into account the ethical dimensions in their professional practice,
  • argue that IT tools are becoming commonplace and that this creates risks in terms of information security and, in particular, the protection of privacy.

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.

The objective of the course is to give an introduction to software security. We will first discuss the concepts of security and software attack. We will then analyze software vulnerabilities and we will study protections. Finally, an introduction to malware analysis will be presented.
- Introduction to cyber security
- Introduction to notions of vulnerabilities, threats and attacks
- Introduction to fishing
- Introduction to privilege escalation
- Integer overflow
- Buffer overflow: assembler, protection and counterattack
- String format and vulnerabilities of C language
- Writing of "shellcode"
- Introduction to static and dynamic analysis of malware
- Honey pots
- Dynamic memory analysis
- Packing and cracking
- External stakeholders: security at UCLouvain, at CISCO and at NVISO.
- Practical exercises on computers
- Lab: setting up traps, intrusion, malware analysis
Teaching methods
Theory classes, practical classes. Seminar by external experts.
Evaluation methods
On first session:
  • an exam for 60% of the final mark
  • two works for 40% of the final grade
In second session: An exam that counts for 100% of the final grade.
Other information
INGI2347 vs INGI2144
  • INGI2347 is an introduction to network and application security.
  • INGI2144 is an advanced course on application security.
Background :
  • computer systems and programming. It is not necessary to follow INGI2347 in order to follow INGI2144
  • Students who do no know whether their background allows them to attend the course (e.g. students from ELEC, ELME or MAP) should contact the lecturer.
Online resources
Available on moodle.
Disponible sur moodle. 
Faculty or entity

Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Master [120] in Data Science Engineering

Master [120] in Computer Science and Engineering

Master [120] in Mathematical Engineering

Master [120] in Computer Science

Master [120] in Electrical Engineering

Master [120] in Data Science: Information Technology