Automation Networks and Cyber SecurityLaajuus (5 cr)
Code: YTGJ0400
Credits
5 op
Teaching language
- Finnish
Responsible person
- Olli Väänänen
Objective
You know the general structure of automation networks and you recognize robots and robotics as part of it. You understand the importance of cybersecurity for automation and robotics security.
YTGSO: Robotics Application Skills
You understand the importance of data networks and cybersecurity in the application of robotics.
YAMOT: Learning and knowledge management skills
You will be able to search for and apply the latest information in the fields of data networks and cybersecurity.
Content
The content follows the structure of the Robot Security Framework (see more information field). At the same time, cybersecurity guidelines and practices at each level are reviewed.
Physical level
- Robot connection to the data transmission network and user interfaces
Network level
- Local area network design
- Data network segmentation
- Communication Security
Application Level
- Robot application level source code production
- Source code maintenance and vulnerability management
- Data collection and storage and data rights
Assessment criteria, satisfactory (1)
Sufficient 1: You know the basics of the structure and cyber security of automation networks.
Satisfactory 2: You are broadly familiar with the structure of automation networks and the importance of cybersecurity for automation and robotics. There are shortcomings in the perception of the whole.
Assessment criteria, good (3)
Good 3: You know the basic structure of automation networks and the structure of the robotics security framework. You will understand the role of cybersecurity in automation and robotics.
Very good 4: You master the structure of automation networks and the structure of the robotics security framework. You understand the role of cybersecurity as part of the automation and robotics.
Assessment criteria, excellent (5)
Excellent 5: You master the structure and importance of automation networks. You master the structure of the robotics safety framework and understand its significance and its connection to the wider whole. You understand and master the role of cybersecurity as part of automation and robotics.
Further information
Robot Security Framework (RSF) https://arxiv.org/pdf/1806.04042.pdf
Enrollment
05.08.2024 - 30.08.2024
Timing
02.09.2024 - 20.12.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Degree programmes
- Master's Degree Programme in Robotics
Teachers
- Heli Ciszek
Groups
-
YTG23S1Insinööri (ylempi AMK), robotiikka
Objectives
You know the general structure of automation networks and you recognize robots and robotics as part of it. You understand the importance of cybersecurity for automation and robotics security.
YTGSO: Robotics Application Skills
You understand the importance of data networks and cybersecurity in the application of robotics.
YAMOT: Learning and knowledge management skills
You will be able to search for and apply the latest information in the fields of data networks and cybersecurity.
Content
The content follows the structure of the Robot Security Framework (see more information field). At the same time, cybersecurity guidelines and practices at each level are reviewed.
Physical level
- Robot connection to the data transmission network and user interfaces
Network level
- Local area network design
- Data network segmentation
- Communication Security
Application Level
- Robot application level source code production
- Source code maintenance and vulnerability management
- Data collection and storage and data rights
Learning materials and recommended literature
Materials in the e-learning environment. Robot Security Framework. Finnish Cyber Security Strategy 2019.
Teaching methods
- (recorded) lectures
- independent study
- small group learning
- mandatory exercises
- elective assignments/labs
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit (1 Cr) corresponds to an average of 27 hours of work.
- lectures 20 h
- exercises 60 h
- assignment/labs 25 h
- independent study 30 h
Total 135 h
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1: You know the basics of the structure and cyber security of automation networks.
Satisfactory 2: You are broadly familiar with the structure of automation networks and the importance of cybersecurity for automation and robotics. There are shortcomings in the perception of the whole.
Evaluation criteria, good (3-4)
Good 3: You know the basic structure of automation networks and the structure of the robotics security framework. You will understand the role of cybersecurity in automation and robotics.
Very good 4: You master the structure of automation networks and the structure of the robotics security framework. You understand the role of cybersecurity as part of the automation and robotics.
Evaluation criteria, excellent (5)
Excellent 5: You master the structure and importance of automation networks. You master the structure of the robotics safety framework and understand its significance and its connection to the wider whole. You understand and master the role of cybersecurity as part of automation and robotics.
Further information
Robot Security Framework (RSF) https://arxiv.org/pdf/1806.04042.pdf
Enrollment
01.08.2023 - 24.08.2023
Timing
08.01.2024 - 28.04.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Online learning
Unit
School of Technology
Campus
Main Campus
Teaching languages
- Finnish
Seats
0 - 30
Degree programmes
- Master's Degree Programme in Robotics
Teachers
- Karo Saharinen
- Heli Ciszek
Groups
-
YTG22S1Insinööri (ylempi AMK), robotiikka
Objectives
You know the general structure of automation networks and you recognize robots and robotics as part of it. You understand the importance of cybersecurity for automation and robotics security.
YTGSO: Robotics Application Skills
You understand the importance of data networks and cybersecurity in the application of robotics.
YAMOT: Learning and knowledge management skills
You will be able to search for and apply the latest information in the fields of data networks and cybersecurity.
Content
The content follows the structure of the Robot Security Framework (see more information field). At the same time, cybersecurity guidelines and practices at each level are reviewed.
Physical level
- Robot connection to the data transmission network and user interfaces
Network level
- Local area network design
- Data network segmentation
- Communication Security
Application Level
- Robot application level source code production
- Source code maintenance and vulnerability management
- Data collection and storage and data rights
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1: You know the basics of the structure and cyber security of automation networks.
Satisfactory 2: You are broadly familiar with the structure of automation networks and the importance of cybersecurity for automation and robotics. There are shortcomings in the perception of the whole.
Evaluation criteria, good (3-4)
Good 3: You know the basic structure of automation networks and the structure of the robotics security framework. You will understand the role of cybersecurity in automation and robotics.
Very good 4: You master the structure of automation networks and the structure of the robotics security framework. You understand the role of cybersecurity as part of the automation and robotics.
Evaluation criteria, excellent (5)
Excellent 5: You master the structure and importance of automation networks. You master the structure of the robotics safety framework and understand its significance and its connection to the wider whole. You understand and master the role of cybersecurity as part of automation and robotics.
Further information
Robot Security Framework (RSF) https://arxiv.org/pdf/1806.04042.pdf
Enrollment
01.08.2022 - 01.09.2022
Timing
01.09.2022 - 21.12.2022
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Online learning
Unit
School of Technology
Campus
Main Campus
Teaching languages
- Finnish
Seats
0 - 30
Degree programmes
- Master's Degree Programme in Robotics
Teachers
- Jarmo Nevala
- Heli Ciszek
Teacher in charge
Heli Ciszek
Groups
-
YTG21S1Insinööri (ylempi AMK), robotiikka
Objectives
You know the general structure of automation networks and you recognize robots and robotics as part of it. You understand the importance of cybersecurity for automation and robotics security.
YTGSO: Robotics Application Skills
You understand the importance of data networks and cybersecurity in the application of robotics.
YAMOT: Learning and knowledge management skills
You will be able to search for and apply the latest information in the fields of data networks and cybersecurity.
Content
The content follows the structure of the Robot Security Framework (see more information field). At the same time, cybersecurity guidelines and practices at each level are reviewed.
Physical level
- Robot connection to the data transmission network and user interfaces
Network level
- Local area network design
- Data network segmentation
- Communication Security
Application Level
- Robot application level source code production
- Source code maintenance and vulnerability management
- Data collection and storage and data rights
Learning materials and recommended literature
Materials in the e-learning environment.
Teaching methods
- lectures
- independent study
- distance learning
- webinars
- small group learning
- exercises
- learning tasks
- seminars
Practical training and working life connections
- visiting lecturers
Exam dates and retake possibilities
The possible date and method of the exam will be announced in the course opening.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit (1 Cr) corresponds to an average of 27 hours of work.
- lectures 52 h
- exercises 15 h
- assignment 35 h
- independent study 30 h
- company visits 3 h
Total 135 h
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1: You know the basics of the structure and cyber security of automation networks.
Satisfactory 2: You are broadly familiar with the structure of automation networks and the importance of cybersecurity for automation and robotics. There are shortcomings in the perception of the whole.
Evaluation criteria, good (3-4)
Good 3: You know the basic structure of automation networks and the structure of the robotics security framework. You will understand the role of cybersecurity in automation and robotics.
Very good 4: You master the structure of automation networks and the structure of the robotics security framework. You understand the role of cybersecurity as part of the automation and robotics.
Evaluation criteria, excellent (5)
Excellent 5: You master the structure and importance of automation networks. You master the structure of the robotics safety framework and understand its significance and its connection to the wider whole. You understand and master the role of cybersecurity as part of automation and robotics.
Further information
Robot Security Framework (RSF) https://arxiv.org/pdf/1806.04042.pdf