Admission requirements
Admission only after intake, please see our website
Description
The course is aimed at cyber security specialists interested in the governance and technical aspects of securing industrial control systems (ICSs) controlling physical systems (SCADA, ICS and IoT). The course will provide an overview of various critical infrastructures and focus on electrical power grids.
Course objectives
Participants are able to:
describe and discuss the stakeholders of and complexities in critical infrastructures.
explain and analyse the ICS architectures for power grids.
explain main cyber security concepts and common policies in ICS for power grids.
analyse threats, threat vectors, and vulnerabilities of industrial control systems.
examine kill chain stages of the cyber attack process on industrial control systems.
analyse the impact of cyber attacks on power grids and their cascading effect on other interconnected critical infrastructures.
recommend appropriate security controls to mitigate cyber attacks on industrial control systems.
describe and discuss best practices for threat intelligence management and cyber security incident response in ICS for power grids.
Timetable
On the right-hand side of the programme front page of the E-Prospectus you will find a link to the online timetables.
Mode of Instruction
Lectures, class discussions
Lecturers: Dr. Alexandru Stefanov (Assistant Professor of Intelligent Electrical Power Grids, Department of Electrical Sustainable Energy at TU Delft)
Assessment method
Assignment (50%), written exam (50%)
Only assessments with the weight of 30% and lower are compensable. This means that the grades for both the assignment as the written exam must be 5.50 or higher to pass this course.
Reading list
Compulsory literature and literature for further consultation will be announced via Brightspace.
Registration
No registration is required for lectures and exams.
Contact
Chantal de Groot, study coordinator Dr. Alexandru Stefanov
Remarks
For more information see the website see our website