Advanced Network Security

2022/2023

Content, progress and pedagogy of the module

Learning objectives

Knowledge

The students must have knowledge about:

  • Cybercrime and different kinds of cyberattacks, including the underlying motivations and techniques.
  • Different malware types
  • systems for detecting, establishing and preventing intrusions (intrusion detection systems and intrusion prevention systems) - including knowledge about relevant monitoring and logging
  • Traffic monitoring and analysis
  • Using machine learning techniques for intrusion detection 

Skills

Students must be able to:

  • Methods for network-based prevention, detection and analysis of network-based cyber-attacks, including analysis of traffic at different layers of the TCP/IP protocol stack.
  • configuration and operation of secure test environments.
  • applying selected tools for attacking and defending network devices and network infrastructure, including detection and establishing of attacks.

Competences

The students must be able to

  • Evaluate which methods and tools for detecting, preventing and analyzing network-based attacks should be used for a specific case/problem

Type of instruction

As descript in §17

Exam

Exams

Name of examAdvanced Network Security
Type of exam
Written or oral exam
ECTS5
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleAvanceret netværkssikkerhed
Module codeESNNDSK1K2
Module typeCourse
Duration1 semester
SemesterAutumn
ECTS5
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module

Organisation

Study BoardStudy Board of Electronics and IT
DepartmentDepartment of Electronic Systems
FacultyTechnical Faculty of IT and Design