Rolf Egert

nameRolf Egert
positionDoctoral Researcher
eMailegert(AT)tk(dot)tu-darmstadt(dot)de
phone+49 (6151) 16 - 23205
fax+49 (6151) 16 - 23202
officeS2|02 A316
postal addressTU Darmstadt - FB 20
FG Telekooperation
Hochschulstraße 10
D-64289 Darmstadt
Germany

Short Biography

Rolf Egert is a PhD student in the area of Smart Protection in Infrastructures and Networks(SPIN) at the Telekooperation Lab under the direction of Prof. Dr. Max Mühlhäuser. In 2016 he received two master degrees in computer science (with minor in psychology) and it-security from TU Darmstadt with his thesis “analysis of the MTProto protocol”. 

Research Interests

  • Resilience and Self-Healing in Critical Infrastructures
  • Smart Grid Modelling and Control
  • Smart Grid Security

Project Work

Project PolyEnergyNet: BMWI Forschungsinitiative

Teilprojekt CRISP - Wertschöpfung mit privatheitsrelevanten Nutzerdaten: BMBF 

Publications

Increasing the Resilience of Cyber Physical Systems in Smart Grid Environments using Dynamic Cells

Author Andrea Tundis, Carlos Garcia Cordero, Rolf Egert, Alfredo Garro, Max Mühlhäuser
Date 2017
Kind Inproceedings
PublisherWASET
Book titleICCPS 2017: 19th International Conference on Cyber-Physical Systems
Number19
Pages796-807
KeyTUD-CS-2017-0007
Research Areas Telecooperation, CRISP, CYSEC, Fachbereich Informatik, - SSI - Area Secure Smart Infrastructures
Abstract Resilience is an important system property that relies on the ability of a system to automatically recover from a degraded state so as to continue providing its services. Resilient systems have the means of detecting faults and failures with the added capability of automatically restoring their normal operations. Mastering resilience in the domain of Cyber-Physical Systems is challenging due to the interdependence of hybrid hardware and software components, along with physical limitations, laws, regulations and standards, among others. In order to overcome these challenges, this paper presents a modeling approach, based on the concept of Dynamic Cells, tailored to the management of Smart Grids. Additionally, a heuristic algorithm that works on top of the proposed modeling approach, to find resilient  configurations, has been defined and implemented. More specifically, the model supports a flexible representation of Smart Grids and the algorithm is able to manage, at different abstraction levels, the resource consumption of individual grid elements on the presence of failures and faults. Finally, the proposal is evaluated in a test scenario where the effectiveness of such approach, when dealing with complex scenarios where adequate solutions are difficult to find, is shown.
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Teaching Activities

  • Seminar Telekooperation WS 16/17
  • Seminar Telekooperation SS 17
  • Seminar Telekooperation WS 17/18
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