Computer system security

linfo2347  2021-2022  Louvain-la-Neuve

Computer system security
5.00 credits
30.0 h + 15.0 h
Q2
Teacher(s)
Sadre Ramin;
Language
English
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:
  • INFO1.1-3
  • INFO2.1-5
  • INFO5.2, INFO4-5
  • 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, SINF4-5
  • SINF6.1, SINF6.3, SINF6.4
The course provides a broad view of computer system security that provides a general knowledge of the field for non-specialists and a base for future specialists.
Students completing successfully this course will be able to
  • defend the need for protection and security, and the role of ethical considerations in computer use,
  • identify security strengths and weaknesses in computer systems,
  • explain the problems addressed by digital forensics and outline the basic principles involved in its practice,
  • compare and contrast current methods for implementing security.
 
Content
The course covers a wide spectrum of the security problems related to computer systems and principles of building secure systems. This course will introduce fundamentals of computer security and applied cryptography. Topics include software vulnerabilities, malware, security in web applications, networking and security, and applied cryptography.
Teaching methods
The course consists of a series of lectures and accompagning exercises and project(s). The teaching method can change depending on the circumstances and the number of participating students or for other reasons. Face-to-face classes as well as remote teaching or a mix of the two methods are possible.
Evaluation methods
Mode of evaluation in the June session:
  • Group projects (35% of the final mark)
  • Exam (65% of the final mark)
If the student fails to obtain at least 50% of the total points in the June session, the student can repeat only the failed part(s) (exam and/or projects) in the August session. However, in that case the project has to be done alone and a new topic might be assigned.
Other information
LINFO2347 vs LINFO2144
  • LINFO2347 is an introduction course to computer system, software and network security, while class LINFO2144 is an advanced course on software security.
Background:
  • LINFO1341 or LELEC2920: Background in computer networks
  • LINFO1252 or LINFO2241: C language, computer architecture, operating systems
  • INFO and SINF students are both compliant with these prerequisites. Student who do not know if their background allows them the attend the course (e.g. students from ELEC, ELME or MAP) should contact the teacher.
  • Weaknesses in networks can be filled by reading the book "Computer Network" by Andew Tanenbaum. The most important topics that will be used in LINFO2347 are: HTTP, DNS, IP, TCP, UDP, ARP
Online resources
Moodle
Bibliography
Livres de références non obligatoires
  • Introduction to Computer Security' by Michael Goodrich & Roberto Tamassia (ISBN-10: 0321512944, ISBN-13: 9780321512949)
  • Security Engineering: A Guide to Building Dependable Distributed Systems' 2nd ed. by Ross J. Anderson (ISBN-10: 0470068523, ISBN-13: 978-0470068526) 
Support obligatoire: transparents en ligne sur le site du cours sur 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 Data Science Engineering
DATE2M
5
Master [120] in Electrical Engineering
ELEC2M
5
Master [120] in Computer Science and Engineering
INFO2M
5
Master [120] in Data Science: Information Technology
DATI2M
5
Master [120] in Computer Science
SINF2M
5
Master [120] in Mathematical Engineering
MAP2M
5