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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

01.11.2024 - 09.01.2025

Timing

13.01.2025 - 31.05.2025

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
  • Erno Vienonen
  • Karo Saharinen
Groups
  • YTG23S1
    Insinööri (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
  • YTG22S1
    Insinööri (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
  • YTG21S1
    Insinööri (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