TEK9530 – Measurable Security for IoT-Based Systems
Course description
Course content
Learning outcome
After completing the course, you will be able to
- describe application-driven security and establish challenges of sensor-driven systems
- provide industrial examples, e.g. Smart Grid and automatic meter readings
- establish application-driven security goals as well as the semantics of your system
- generate matrices to describe the security impact of components and sub-systems, and perform a multi-metrics analysis to establish the system security
- analyze application goal versus system security and suggest improvements
- compare security-related application goals with the results from an extended system analysis
Admission to the course
PhD candidates from the University of Oslo should apply for classes and register for examinations through Studentweb.
If a course has limited intake capacity, priority will be given to PhD candidates who follow an individual education plan where this particular course is included. Some national researchers’ schools may have specific rules for ranking applicants for courses with limited intake capacity.
PhD candidates who have been admitted to another higher education institution must apply for a position as a visiting studentwithin a given deadline.
Recommended previous knowledge
Overlapping courses
- 10 credits overlap with TEK5530 – Measurable Security for IoT-Based Systems.
- 10 credits overlap with UNIK4750 – Measurable Security for the Internet of Things (continued).
- 10 credits overlap with UNIK9750 – Selected Topics in Measurable Security for the Internet of Things (continued).
Teaching
The course has full-day lectures/exercises roughly every other week throughout the semester, on average 3 hours lectures/exercises each week. The lectures will be held at ITS, Kjeller, with video conferencing to other locations for remote teaching.
There are mandatory assignments throughout the semester, which will be part of a portfolio assessment that counts 40% towards your final grade.
As a PhD candidate you will in addition deliver an analysis of a related topic to be decided with the lecturer. The analysis must be submitted in the form of a scientific paper, for which you will receive a peer review in line with conference reviews. The analysis does not directly contribute to your final grade. However, as it is part of the curriculum, questions related to the analysis may appear on your exam.
The course lectures are given at Department of Technology Systems in Kjeller Research Park. See the schedule for the student bus from Campus Blindern.
Examination
- The final grade is based on a portfolio assessment which counts 40% towards the final grade.
- In addition there will be a final oral exam, which counts for the remaining 60% of the final grade.
- In case of many students, the final exam may be held as a written exam; this will be decided early in the semester.
- The analysis is in addition to the portfolio assessment, and does not directly contribute to your final grade. However, as it is part of the curriculum, questions related to the analysis may appear on your exam.
It will also be counted as 1 of the 3 attempts to sit the exam for this course, if you sit the exam for the following courses:
Examination support material
Language of examination
Grading scale
Resit an examination
Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester.
Re-scheduled examinations are not offered to students who withdraw during, or did not pass, the original examination.
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.