TEK5530 - Measurable Security for the Internet of Things

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TEK5530 - Measurable Security for the Internet of Things

News Lectures on Tuesdays 09:15-12:00 starting from . The course is given physical at ITS, meeting room 308
Organisation UiO
by Josef Noll

Abstract 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.
Objective (max 350 words) 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
  • Have an overview of security features and continuous compliance in Amazon Web Services (cloud security)
  • 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
  • Analyse application goal versus system security and suggest improvements
Keywords Security, Network Security, Sensor Security, Sensor networks, Energy monitoring, Energy, Resillient Energy Networks
Research Area(s) Security
Type of course Master

Upload TEK5530.png to see a course picture instead of the banner picture. Edit the page by Special:FormEdit/Course/TEK5530.

To add new lectures, use: Add a lecture


We will start with a 3h lecture on 16Jan2024 0915-1200h in a hybrid form: Gunnar Randers vei 19 (Bus from Ole Johan Dals hus (Ifi) leaves at 08:25, see https://www.mn.uio.no/its/om/finn-fram/busstider.html) and http://zoom.jnoll.net or https://uio.zoom.us/j/2313898139

The first lecture will present some of the security challenges and the topics of the course, being the basis for a discussion on interests in measurable security (e.g. energy systems, home automation, autonomous operations,....)

During the first lecture we'll also discuss during the first day the set-up of the course.

Timeline v24

Zoom: http://zoom.jnoll.net or https://uio.zoom.us/j/2313898139

Contact and info

Note: Please remind us to take Zoom video recording.


  • 30Jan L3 Security in the Internet of Things Media:TEK5530-L3_v24.pdf
    • Paper selection from TEK5530/List_of_papers
    • Theme: "Measurable Security for the Internet of Things"
    • Discussion on Group Work
    • select a paper and send info on "which paper" to Josef


  • 20Feb2024 L6 Group work ideas Please prepare the scenario description for your home scenario, with
a) a description of applications in the home (e.g. web browsing, home control, office applications, communications, ...), and
b) establish the security and privacy (s,p) requirements for your application


Security processes and assessment criteria
read more about the security classification model at the PhD of Manish_Shrestha, or register at https://light-sc.tech to gain access


  • 26Mar2024 - Påskeferie
  • 9apr2024 L12 09:15 besøk Øyvind Lunde (Lillestrøm kommune) & gruppearbeid - (ingen forelesning)

Papers & Group work

Exam 2024

Exam on Tir 21May2024 will be performed as an oral exam, Please use frameadate https://framadate.org/TEK5530-exam to select your time slot

As discussed, the exam will consist of 3 parts:

  • Part 1: Present your group-work (8 min) - assessment of Security Classes for IoT or Applying Multi-metrics Method or risk assessment of 5G maritime communications" to be delivered latest by xxx
  • Part 2: Questions to group work (7 min)
  • Part 3: Random questions from the lectures (10 min). TEK5530/List_of_Questions (you will pick 3-5 questions)

Sensorveiledning - Assessor Guidance - TEK5530 (.pdf)

Course info and lectures in previous years

Course info

  • This course is a combined masters and Phd course (UNIK9750), in 2018 all the lectures will be presented by Gyorgy Kalman.
  • The course takes place on Thursdays, 0900-1600ish at ITS (UNIK) in Kjeller. This year double lectures will be given, so that we are using the day efficiently, and everybody is requested to take the tour to Kjeller. Video conferencing is available. Double lectures allows us to have the exam early in the semester so that the students can focus on their other duties in the exam period. A recording of all lectures will be provided and in addition personal follow-up is offered for students, who cannot attend some of the lectures.
  • We'll have video streaming: mms://lux.unik.no/401
  • Evaluation is based on a presentation of topics and the implementation of your scenario.

  • Group work

Please see the description from 2016: TEK5530 presentation of your Group Work - (suggestions and criteria) I recommend you to form 4 (3-5) person groups. I'm open for any suggestion in selecting the IT infrastructure you would like to analyse. There are not that many groups this year, so you are allowed to use longer time for your presentation.


  • AMS
  • Smart home, home automation
  • Implications of GDPR on a specific IoT system
  • GDPR on medical IoT
  • smart car, vehicle-to-vehicle communication, autopilot
  • train control from timetables on tablet to predicting power consumption to order power supply for next month
  • ship control, from predictive maintenance to offering cloud storage for pictures taken on the cruise

and so on. A good delivery from 2018: Media:good_example_group_work.pdf

It should be composed from several "traditional" IT systems interconnected with some communication solution with one end being quite far from the other one. This is to enable you to decompose it to systems of systems relatively easily. Again, no single right answer, I would like to see your way of thinking.

Introduction into Internet of Things (IoT)

This first part will provide the introduction into the Internet of Things (Lecture 1 - 2), with industrial examples

  • Smart Grid and automatic meter system (AMS)
  • Smart Homes with sensors
  • Autonomous cars
  • Cloud technologies

The part will further address potential security threats (L3), through the example of the smart grid. The challenges related to attack surface, legal aspects and relation to office IT security will be presented.

SmartGrid future.png

The distributed nature of the future (smart) electric grid has its operational, financial, technological and social aspects. In the course we will try to cover all the aspects, with focus on the technological - more precisely: on the communication and security challenges. We expect from the operational viewpont the grid to get more unstable if no compensatory action is done to be the counterweight of renewables and consumers becoming dual role consumer/producers. We will use an example of an automatic meter reading (AMR) and -system (AMS) in L4 to address the security and privacy challenges.

The final part of this first block is addressed through lectures L5 and L6, and will create the mapping from functional requirements towards mapping into technology. Examples of such mapping are the translation of privacy requirements - can somebody see from my meter reading if I'm at home - towards technology parameters like how often are values read and published.

Machine-readable Descriptions

The next block deals with the machine-readable description of security and privacy, security functionality and system of systems through ontologies.

  • Establish system description examples of systems,
  • Describing Security and Security Functionality in a semantic way

Security, privacy and dependability functionality (Orig:Owncloud)

Operations Security.png

Dev Maint Audit Security.png

see all SPF.IoTSec.no

Application-driven security goals

This block will develop the security goals resulting from applications.

  • From industrial examples, establish the functional requirements. Example: switch-off time of power circuits less than 10 ms
  • From the functional requirements, select the security and privacy relations
  • Establish application-driven security goals as well as the semantics of your system

Perform Multi-Metrics Analysis

This last block will analyse industrial examples based on the multi-metrics analysis.

  • 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