Modern topics in telecommunications and radio engineering 10 – Intelligent security
Max amount of FITech students: 20
Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course.
In this course we will introduce the requirements for security in future self-sustaining wireless networks that are defined with native, embedded artificial intelligence (AI) capability, where new security paradigms are crucial to address novel and unprecedented threat vectors. We will cover the opportunities of introducing intelligence into the security definitions by presenting novel approaches from the perspective of different layers.
- Challenges towards 6G security including 6G vision, architecture, intelligence and trustworthiness.
- Tools for achieving intelligence in network security: ENISA recommendations, ORAN security, proactive and reactive network security, federated learning, moving target defense and explainable AI algorithms.
- Physical layer security: motivation and roadmap.
- Confidentiality issues and techniques.
- Physical layer authentication mechanisms, classical system and stages and ML-based solutions.
- Secret Key Generation: SKG standard procedure, secret key rate and protection against active attacks.
After successfully completing this course, the student can
- identify the threat landscape towards future wireless networks.
- differentiate physical layer security and network security techniques, their challenges and limitations, and their practical aspects.
- explain different intelligent security approaches, their challenges and strengths.
- evaluate the performance of security solutions based on physical layer security and network security.
- apply machine learning tools and provide their explainability for the design of intelligent security solutions.
- Zero-touch network and Service Management (ZSM); General Security Aspects. ETSI GR ZSM 010 V1.1.1, 2021. Online available here.
- Evolution of 5G Cyber Threats and Security Solutions, INSPIRE-5Gplus whitepaper, March 2022. Online available here.
- Osorio, D.P., Sánchez, J.D. and Alves, H. (2019). Physical-Layer Security for 5G and Beyond. In Wiley 5G Ref (eds R. Tafazolli, C.-L. Wang and P. Chatzimisios). Online available here.
- Shakiba-Herfeh, M., Chorti, A., Vincent Poor, H. (2021). Physical Layer Security: Authentication, Integrity, and Confidentiality. In: Le, K.N. (eds) Physical Layer Security. Springer, Cham. Online available here.
- Software: Matlab/Phyton
- Lectures on Tuesday and Thursday (recordings in Moodle)
- Exam TBD (in Moodle, check the date from University of Oulu study guide)
The course can be completed online.
Lectures 23 h, independent work (literature review + self-study) 70 h, research seminar (individual or group) 20 h, assignments (individual or group) 22 h and exam preparation 20 h.
- Assignments: simulation exercises (individual and in groups) 20 %
- Research seminar 20 %
- Final exam 60 %
More information in the University of Oulu study guide.
You can get a digital badge after completing this course.
Further information about the course and studying
Contact person for applications
AI and machine learning,