DM896: Human-centred cybersecurity and privacy

Study Board of Science

Teaching language: English
EKA: N340133102
Assessment: Second examiner: Internal
Grading: 7-point grading scale
Offered in: Odense
Offered in: Spring
Level: Master

STADS ID (UVA): N340133101
ECTS value: 5

Date of Approval: 11-10-2023


Duration: 1 semester

Version: Approved - active

Entry requirements

None

Academic preconditions

Students taking the course are expected to: Have passed a basic course on cybersecurity, e.g., DM572.

Course introduction

This course aims to give an understanding of the issues surrounding the human element in cybersecurity and privacy and the role these issues play in cyber kill chains.

In relation to the competence profile of the degree it is the explicit focus of the course to:
  • expert knowledge in a defined subject area that is based on the highest international field of research within the field of computer science
  • to be able to understand and on a scientific basis reflect on the knowledge of the field of computer science and be able to identify scientific issues
  • elucidate hypotheses made on a qualified theoretical background and be critical of one's own and others' research results and scientific models
  • develop new variants of the learned methods where the specific problem requires it
  • be able to take responsibility for own professional development and specialization

Expected learning outcome

At the end of the course, the student is expected to have acquired competencies to

  • Understand the different types of issues surrounding the human element in cybersecurity and privacy
  • Perform ethical OSINT to scout out targets
  • Assess the viability of countermeasures to prevent exploitation of cyber kill chains
  • Assess the usability of systems based on quantitative and qualitative evaluation methods
  • Plan and conduct cybersecurity experiments with human participants
  • Create end-user viable cybersecurity and privacy solutions using the human-centred-security and privacy-by-design approach


    • Content

    • Usability and metrics to measure it
    • Evaluation and analysis methods
    • Communicating a system status in a usable way
    • Exemplary usable security solutions
    • OSINT
    • Social Engineering techniques and countermeasures

    Literature

    See itslearning for syllabus lists and additional literature references.

    Examination regulations

    Exam element a)

    Timing

    Spring and June

    Tests

    Portfolio

    EKA

    N340133102

    Assessment

    Second examiner: Internal

    Grading

    7-point grading scale

    Identification

    Full name and SDU username

    Language

    Normally, the same as teaching language

    Duration

    oral exam - 30 minutes

    Examination aids

    No aids allowed

    ECTS value

    5

    Additional information

    Portfolio consists of two parts:
    - Individual assignments during the course
    - Oral exam

    Indicative number of lessons

    20 hours per semester

    Teaching Method

    At the faculty of science, teaching is organized after the three-phase model ie. intro, training and study phase.
    • Intro phase: ~14 hours
    • Training phase: ~14 hours (exercises)
    Activities during the study phase: 
    • Reading course material & published research papers.
    • Solving exercises related to the course content.
    • Reflection upon the intro and training sections.
    • Applying acquired knowledge to practical projects.

    Teacher responsible

    Name E-mail Department
    Peter Mayer mayer@imada.sdu.dk Concurrency

    Timetable

    Administrative Unit

    Institut for Matematik og Datalogi (datalogi)

    Team at Educational Law & Registration

    NAT

    Offered in

    Odense

    Recommended course of study

    Profile Education Semester Offer period

    Transition rules

    Transitional arrangements describe how a course replaces another course when changes are made to the course of study. 
    If a transitional arrangement has been made for a course, it will be stated in the list. 
    See transitional arrangements for all courses at the Faculty of Science.