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 


Attack Scenario Modeling for Smart Grids Assessment through Simulation

Author Andrea Tundis, Rolf Egert, Max Mühlhäuser
Date August 2017
Kind Inproceedings
PublisherACM ICPS
Book title12th International Conference on Availability, Reliability and Security (ARES 2017)
LocationCalabria Italy
Research Areas Telecooperation, SPIN: Smart Protection in Infrastructures and Networks
Abstract <div>Smart Grids (SGs) are Critical Infrastructures</div> <div>(CI), which are responsible for controlling and maintaining</div> <div>the distribution of electricity. To manage this task, modern</div> <div>SGs integrate an Information and Communication Infrastructure</div> <div>(ICT) alongside the electrical power grid. Aside</div> <div>from the benefits derived from the increasing control and</div> <div>management capabilities offered by the ICT, unfortunately</div> <div>the introduction of this cyber layer provides an attractive</div> <div>attack surface for hackers. As a consequence, security</div> <div>becomes a fundamental prerequisite to be fulfilled. In this</div> <div>context, the adoption of Systems Engineering (SE) tools</div> <div>combined with Modeling and Simulation (M&amp;S) techniques</div> <div>represent a promising solution to support the evaluation</div> <div>process of a SG during early design stages. In particular,</div> <div>the paper investigates on the identification, modeling and</div> <div>evaluation of attacks in the SG environment, by proposing a</div> <div>model for representing attack scenarios as a combination of</div> <div>attack types, attack schema and their temporal occurrence.</div> <div>Simulation techniques are exploited to enable the execution</div> <div>of such attack combinations in the SG domain. Specifically,</div> <div>a simulator, which allows to assess the SG behaviour to</div> <div>identify possible flaws and provide preventive actions before</div> <div>its realization, is developed on the basis of the proposed</div> <div>model and exemplified through a 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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