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Second Exchange Student at NM-AIST

From March to June another exchange student from TU Dresden visited the Nelson Mandela African Institution of Science and Technology. He also assisted the development of teaching material for practical labs in the new smart grid courses on data security and data protection. Specifically his tasks included:
– Research on the subject of security and privacy issues of smart grid components, in particular user behaviour tracking with smart meters 
– Development of a tool for real-time measurement of load data provided via the internet by a solar panel system on-site
– Development of a tool for visual analysis of open source energy consumption data
– Conception of possible tasks for future students making use of the developed tools 
– Collection of material and examples to convey and motivate, why privacy protection and data security are important for electricity infrastructure

Project Meeting in Cape Town and Block Course

The fifth project meeting took place in the great city of Cape Town from March 11 – 12, 2019. Further, we carried out the second block course from March 13 – 15, 2019, in which the new and adapted modules at CPUT were presented and discussed. Furthermore, updates from all other partners especially regarding the courses were presented and discussed. We thank all the participants from the different partner institutions for taking part in the block course and providing us with valuable feedback. We had the unique opportunity to see the lab and its new equipment at CPUT during the lab representation.

Special thanks goes to our partners from CPUT for hosting and organizing this great events.

Exchange Student at Nelson Mandela African Institution of Science and Technology

For the student exchange a student from TU Dresden is at Nelson Mandela African Institution of Science and Technology. Her task is to assist with the development of learning and teaching material for the smart grid courses. The focus lays on practical lab task in data security and data protection in Smart Grid systems. This includes task such as, using the NM-AIST lab equipment to simulating different attack scenarios e.g. network traffic sniffing, man-in-the-middle attacks and power load analyses for user behaviour tracking.