Iot Security (5 cr)
Code: TT00BO24-3004
General information
Enrollment
01.06.2023 - 17.09.2023
Timing
04.09.2023 - 31.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Engineering and Business
Campus
Kupittaa Campus
Teaching languages
- Finnish
Seats
20 - 60
Degree programmes
- Degree Programme in Information and Communication Technology
- Degree Programme in Information and Communications Technology
Teachers
- Jari-Pekka Paalassalo
Teacher in charge
Jari-Pekka Paalassalo
Scheduling groups
- Labraryhmä A (Size: 35. Open UAS: 0.)
- Labraryhmä B (Size: 35. Open UAS: 0.)
Groups
-
ICTMODembeddedSem
-
PTIVIS22SEmbedded Software and IoT
Small groups
- Lab group A
- Lab group B
- 22.11.2023 12:00 - 15:00, Labs B, Iot Security TT00BO24-3004
- 28.11.2023 12:00 - 15:00, Catchup Labs, Iot Security TT00BO24-3004
- 29.11.2023 12:00 - 14:00, Exam, Iot Security TT00BO24-3004
- 01.12.2023 12:00 - 15:00, Catchup Labs, Iot Security TT00BO24-3004
- 05.12.2023 12:00 - 14:00, Exam retake, Iot Security TT00BO24-3004
Materials
Cisco Network academy materials
Teaching methods
Self-study network material
Lectures
7 laboratory sessions
International connections
Lab works
Lectures
Self study
Completion alternatives
-
Student workload
Lab sessions 6x4h = 24h
Final exam 2h
Lectures 12h
Self study 85h
Exam preparation 12h
Content scheduling
Chapter 1: The IoT Under Attack
Chapter 2: IoT Systems and Architectures
Chapter 3: The IoT Device Layer Attack Surface
Chapter 4: IoT Communication Layer Attack Surface
Chapter 5: IoT Application Layer Attack Surface
Chapter 6: Vulnerability and Risk Assessment in an IoT System
Evaluation scale
H-5
Assessment methods and criteria
Must pass Final Exam:
50% -> 1
68% -> 2
76% -> 3
84% -> 4
92% -> 5
Mandatory lab works: +/- 2 grades from individual Lab performance
Mandatory lectures, must attend 70%
Assessment criteria, fail (0)
Failed Final Exam <50%
or
Weak Final exam < 76% + poor lab performance (missing labs, nonprofessional attitude or lack of active problem-solving, missed lectures)
Assessment criteria, excellent (5)
Excellent Final Exam >92%
and
expected lab performance (all labs done with average performance)
or
Good Final Exam >76%
and
superb lab performance (all labs done, actively learns new skills outside of the lab scope, is able to help fellow students, attended all lectures)