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<title>Dokumente von Tagungen, Kongressen, Workshops und Projekten</title>
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<dc:date>2026-05-12T21:13:01Z</dc:date>
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<item rdf:about="http://hdl.handle.net/10900/167699">
<title>1994 bis 2024. Festschrift zum 30-jährigen Bestehen der Gesellschaft für Archäozoologie und Prähistorische Anthropologie</title>
<link>http://hdl.handle.net/10900/167699</link>
<description>1994 bis 2024. Festschrift zum 30-jährigen Bestehen der Gesellschaft für Archäozoologie und Prähistorische Anthropologie
Trixl, Simon (Hrsg.); Berszin, Carola (Hrsg.)
Mit ihrem 13. Konferenzband legt die Gesellschaft für Archäozoologie und Prähistorische Anthropologie e.V. (GAPA) die Ergebnisse ihrer 2022 am Museum für Ur- und Frühgeschichte Thüringens in Weimar abgehaltenen Tagung vor. Die 21 osteoarchäologischen Beiträge decken dabei ein in vielerlei Hinsicht überaus breites Themenspektrum ab, das Studien zu Menschen- und Tierknochenfunden aus archäologischen Kontexten von der Mittelsteinzeit bis in das 20. Jahrhundert umfasst. Zentral ist dabei zudem ein multi- bzw. interdisziplinärer Ansatz, der auch eine Brücke zwischen der Erforschung menschlicher und tierischer Reste schlägt. Anlässlich des dreißigjährigen Bestehens der GAPA 2024 erscheint der vorliegende Band zugleich als Festschrift mit einem forschungsgeschichtlichen Rückblick.
</description>
<dc:date>2025-07-01T00:00:00Z</dc:date>
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<item rdf:about="http://hdl.handle.net/10900/163785">
<title>Assessing Effects of Cyber-Attacks on Smart Grids through Power Grid and Communication Co-Simulation</title>
<link>http://hdl.handle.net/10900/163785</link>
<description>Assessing Effects of Cyber-Attacks on Smart Grids through Power Grid and Communication Co-Simulation
Kaven, Sascha; Volkmann, Moritz; Skwarek, Volker
The transition to renewable energy sources has led&#13;
to the development of smart grids, which integrate advanced&#13;
metering infrastructure and communication networks to enhance&#13;
grid management. However, this evolution also introduces new&#13;
cyber-attack surfaces. This paper presents a co-simulation tool&#13;
designed to assess the impact of cyber-attacks on smart grids&#13;
by simulating both power grid and communication components.&#13;
Focusing on false data injection attacks, the tool evaluates the&#13;
effects of manipulated measurement data on state estimation and&#13;
grid stability. Initial results demonstrate the tool’s capability to&#13;
identify vulnerabilities and inform the development of robust&#13;
security measures for future smart grid control systems.
</description>
<dc:date>2025-04-03T00:00:00Z</dc:date>
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<title>Scalable Cybersecurity Training: Integrating Virtual and Physical Security Teaching Environments</title>
<link>http://hdl.handle.net/10900/163784</link>
<description>Scalable Cybersecurity Training: Integrating Virtual and Physical Security Teaching Environments
Bechtel, Lukas; Schramm, Markus; Popperl, Lukas; Heer, Tobias
The number of cybersecurity incidents increases&#13;
year over year. Cybersecurity education requires hands-on experience&#13;
to protect infrastructure and services against hackers.&#13;
However, existing teaching infrastructures face scalability and&#13;
hardware integration challenges. This paper presents a semivirtualized&#13;
security teaching infrastructure combining virtual&#13;
infrastructure, physical hardware access, and an Attack &amp;&#13;
Defense framework. The infrastructure is based on a Proxmox&#13;
cluster, managed through a self-developed platform that allows&#13;
parallel access to different courses. The teaching concept enables&#13;
students to solve team-based exercises on personal laptops. Using&#13;
personal laptops motivates students to create and maintain their&#13;
own set of tools for cybersecurity analysis. Automated scoring and&#13;
hardware interaction enhance engagement, providing a flexible&#13;
platform for practical cybersecurity training.
</description>
<dc:date>2025-04-03T00:00:00Z</dc:date>
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<item rdf:about="http://hdl.handle.net/10900/163783">
<title>VIPNANO: Monitoring of Virtual Private Cloud Networks for Automated Anomaly Detection</title>
<link>http://hdl.handle.net/10900/163783</link>
<description>VIPNANO: Monitoring of Virtual Private Cloud Networks for Automated Anomaly Detection
Sichermann, Marleen; Dietz, Katharina; Kögel, Jochen; Meier, Sebastian; Geißler, Stefan; Hoßfeld, Tobias
Anomaly detection in enterprise networks is crucial&#13;
for cybersecurity, system monitoring, and identifying outages.&#13;
Despite extensive academic research, practical deployment of&#13;
proposed mechanisms remains rare. The VIPNANO project&#13;
investigates key shortcomings in academic approaches, focusing&#13;
on two major obstacles: (1) reliance on unrealistic datasets that&#13;
fail to reflect real-world complexity, and (2) overly complex machine&#13;
learning models with impractical computational overhead.&#13;
Additionally, we highlight a critical gap – the lack of rigorous&#13;
real-world validation. Through systematic analysis, we emphasize&#13;
the need to prioritize realistic data, scalability, and verifiable&#13;
solutions to bridge the gap between theory and deployment.
</description>
<dc:date>2025-04-03T00:00:00Z</dc:date>
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