Rolf Egert

nameRolf Egert
positionDoctoral Researcher
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

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 


Applying a Properties Modeling Approach for Monitoring Smart Grids

Author Andrea Tundis, Rolf Egert, Max Mühlhäuser
Date May 2017
Kind Inproceedings
Book title14th IEEE International Conference on Networking, Sensing and Control - ICNSC 2017
KeywordsProperties Modeling; Resilience; Simulation; Smart Grids; Systems Engineering; Security Requirements; Verification
Research Areas SPIN: Smart Protection in Infrastructures and Networks, Fachbereich Informatik, Telecooperation
Abstract <div>Abstract—Smart Grids (SGs) are electrical power grid infrastructures that aim at managing both cyber and physical resources and provide efficient energy routing. The cyber part of the system encompasses computing and networking resources, whereas the physical part faces with mechanical and electrical processes. Due to the strong integration and interaction among cyber modules and physical components, the complexity of SGs is increasing. As a consequence, the fulfillment of cyber and physical requirements becomes even more complicated. For example, resilience is an important non-functional requirement that has to be guaranteed. It represents the ability of a system to provide an acceptable level of service under degraded conditions. To achieve that, the adoption of innovative systems engineering tools represent a feasible solution. In this paper, a recent approach based on Properties Modeling (PM) is exploited. Through PM is possible to evaluate cross-information from the Smart Grid to increase the network resilience so as to prevent system damage and, as a consequence, reduce the loss of money. Beyond validating the correctness of the system under specific conditions, properties can also be used to identify anomalies resulting from component interactions or external factors. In this context, some important properties exploitable for monitoring SGs are identified and presented. Furthermore, a Smart Grid Simulator, which allows to execute these properties, has been developed and used to show the effectiveness of properties through a simple case study.</div>
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Teaching Activities

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


1 Entries found


Optimizing holon-based energy networks using Particle Swarm Optimization

Bachelor Thesis

in progress

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