UNIK9750 - Selected Topics in Measurable Security for the Internet of Things

Schedule, syllabus and examination date

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Course content

The course provides a methodology for measurable security, privacy, and dependability of industrial systems. Based on e.g. a smart grid example we will establish and develop the methodology to perform a multi-metrics analysis from components to sub-systems to systems. The course will allow you to compare security-related application goals with the results from the system analysis.

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

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 student within a given deadline.

Prerequisites

Recommended previous knowledge

The course is built on basic knowledge of information security

Overlapping courses

10 credits overlap with UNIK4750 - Measurable Security for the Internet of Things

Teaching

The course has lectures/exercises at UNIK each week with video conferencing to UiO and other locations for remote teaching.
There are assignments throughout the semester, which will be part of a portfolio assessment that counts towards your final grade.

You will have to deliver an analysis of a complex task in the form of a scientific paper, for which will receive a review (in line with conference reviews). As this analysis will be part of the curriculum, you may be asked questions at the exam related to the review.

Examination

The final grade is based on a portfolio assessment (40%) and an oral exam at the end of the semester (60%). In the 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 can appear in your exam.

Examination support material

You are allowed the presentations used on the lectures, scientific papers and case studies as well as your own portfolio and analysis for the exam.

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

Explanations and appeals

Resit an examination

This course offers both postponed and resit of examination. Read more:

Special examination arrangements

Application form, deadline and requirements for special examination arrangements.

Facts about this course

Credits

10

Level

PhD

Teaching

Every spring

Examination

Every spring

Teaching language

English