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    Integration of Remote Attestation into IEC 61850
    The continuing integration of decentralized energy generators requires a more flexible power grid, which necessitates the use of stronger automation and more communication technologies between the control systems. This is accompanied by an increase in the attack surface of the power grid, such as attacks on firmware of intelligent electronic devices. This publication aims to secure intelligent electronic devices by monitoring their firmware. To achieve this aim, Trusted Computing technology such as remote attestation are integrated into the power grid domain specific communication standards to improve security in the current power grid architecture. The outcome is an appropriate conceptual information model for the IEC 61850 standard in order to be qualified to transfer remote attestation information and exchange them with the control centre. Such a solution is perfectly designed for automatic remote monitoring.
    Wissenschaftlicher Artikel
      73
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    Item-typ:Veröffentlichung,
    Analyzing Power Grid, ICT, and Market Without Domain Knowledge Using Distributed Artificial Intelligence
    Modern cyber-physical systems (CPS), such as our energy infrastructure, are becoming increasingly complex: An ever-higher share of Artificial Intelligence (AI)-based technologies use the Information and Communication Technology (ICT) facet of energy systems for operation optimization, cost efficiency, and to reach CO2 goals worldwide. At the same time, markets with increased flexibility and ever shorter trade horizons enable the multi-stakeholder situation that is emerging in this setting. These systems still form critical infrastructures that need to perform with highest reliability. However, today’s CPS are becoming too complex to be analyzed in the traditional monolithic approach, where each domain, e.g., power grid and ICT as well as the energy market, are considered as separate entities while ignoring dependencies and side-effects. To achieve an overall analysis, we introduce the concept for an application of distributed artificial intelligence as a self-adaptive analysis tool that is able to analyze the dependencies between domains in CPS by attacking them. It eschews preconfigured domain knowledge, instead exploring the CPS domains for emergent risk situations and exploitable loopholes in codices, with a focus on rational market actors that exploit the system while still following the market rules.
    Bericht
      109
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    Item-typ:Veröffentlichung,
    Simulationsumgebung für IKT-Netze zur Cyber-Abwehr – IKT-Netzsimulation zur Prävention von Angriffen auf das Energienetz
    Durch die wachsende Anzahl dezentraler Energieerzeugungsanlagen wie Windkraft- und Photovoltaikanlagen steigt auch der Einsatz von Informations- und Kommunikationstechnik (IKT), die zur Regelung und Überwachung der oftmals geographisch weit verteilten Komponenten zum Einsatz kommt. Durch die zunehmende Vernetzung erhöht sich aber auch die Gefahr von Angriffen auf die IKT in den Stromnetzen. Zur Entwicklung von Abwehrstrategien und der kosteneffizienten sowie gefahrlosen Erprobung neuer Sicherungsmaßnahmen, ist eine Simulation der entsprechenden IKT-Infrastruktur notwendig. Im Rahmen des BMWi-Forschungsprojekts „Methoden für Energienetzakteure zur Prävention, Detektion und Reaktion bei IT-Angriffen und Ausfällen“ (MEDIT5) wird hierzu die IKT-Simulationsumgebung rettij entwickelt. Sie dient der Simulation energietechnikspezifischer IKT-Komponenten sowie der Durchführung von Angriffsszenarien. Im Zuge der Simulation ist es notwendig, neben simulierten Komponenten auch existierende proprietäre Applikationen an die Simulationsumgebung anbinden zu können. Diese Möglichkeit wird in rettij mithilfe von Docker-Technologien bereitgestellt. Außerdem ist eine einfache und verständliche Umsetzung von Netztopologien notwendig. Dies ist in rettij durch die Verwendung des YAML-Dateiformats zur Spezifikation der Netztopologie gewährleistet. Zur Verbindung von rettij mit einem Energienetzsimulator wie pandapower, kann z. B. der Co-Simulator mosaik eingesetzt werden.
    Konferenzbeitrag
      334
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    Item-typ:Veröffentlichung,
    ANALYSE — Learning to attack cyber–physical energy systems with intelligent agents
    The ongoing penetration of energy systems with information and communications technology (ICT) and the introduction of new markets increase the potential for malicious or profit-driven attacks that endanger system stability. To ensure security-of-supply, it is necessary to analyze such attacks and their underlying vulnerabilities, to develop countermeasures and improve system design. We propose ANALYSE, a machine-learning-based software suite to let learning agents autonomously find attacks in cyber–physical energy systems, consisting of the power system, ICT, and energy markets. ANALYSE is a modular, configurable, and self-documenting framework designed to find yet unknown attack types and to reproduce many known attack strategies in cyber–physical energy systems.
    Wissenschaftlicher Artikel
    Heft:
      54