http://hdl.handle.net/10900/163069 Tue, 05 May 2026 12:54:04 GMT 2026-05-05T12:54:04Z https://publikationen.uni-tuebingen.de:443/xmlui/bitstream/id/92bea732-d8de-47c1-a4dd-c8c71f6d5e4b/ http://hdl.handle.net/10900/163069 http://hdl.handle.net/10900/163785 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 to the development of smart grids, which integrate advanced metering infrastructure and communication networks to enhance grid management. However, this evolution also introduces new cyber-attack surfaces. This paper presents a co-simulation tool designed to assess the impact of cyber-attacks on smart grids by simulating both power grid and communication components. Focusing on false data injection attacks, the tool evaluates the effects of manipulated measurement data on state estimation and grid stability. Initial results demonstrate the tool’s capability to identify vulnerabilities and inform the development of robust security measures for future smart grid control systems. Thu, 03 Apr 2025 00:00:00 GMT http://hdl.handle.net/10900/163785 2025-04-03T00:00:00Z http://hdl.handle.net/10900/163784 Scalable Cybersecurity Training: Integrating Virtual and Physical Security Teaching Environments Bechtel, Lukas; Schramm, Markus; Popperl, Lukas; Heer, Tobias The number of cybersecurity incidents increases year over year. Cybersecurity education requires hands-on experience to protect infrastructure and services against hackers. However, existing teaching infrastructures face scalability and hardware integration challenges. This paper presents a semivirtualized security teaching infrastructure combining virtual infrastructure, physical hardware access, and an Attack & Defense framework. The infrastructure is based on a Proxmox cluster, managed through a self-developed platform that allows parallel access to different courses. The teaching concept enables students to solve team-based exercises on personal laptops. Using personal laptops motivates students to create and maintain their own set of tools for cybersecurity analysis. Automated scoring and hardware interaction enhance engagement, providing a flexible platform for practical cybersecurity training. Thu, 03 Apr 2025 00:00:00 GMT http://hdl.handle.net/10900/163784 2025-04-03T00:00:00Z http://hdl.handle.net/10900/163783 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 for cybersecurity, system monitoring, and identifying outages. Despite extensive academic research, practical deployment of proposed mechanisms remains rare. The VIPNANO project investigates key shortcomings in academic approaches, focusing on two major obstacles: (1) reliance on unrealistic datasets that fail to reflect real-world complexity, and (2) overly complex machine learning models with impractical computational overhead. Additionally, we highlight a critical gap – the lack of rigorous real-world validation. Through systematic analysis, we emphasize the need to prioritize realistic data, scalability, and verifiable solutions to bridge the gap between theory and deployment. Thu, 03 Apr 2025 00:00:00 GMT http://hdl.handle.net/10900/163783 2025-04-03T00:00:00Z http://hdl.handle.net/10900/163782 Automated Test Bench for High-Performance Network Equipment Steinert, Benjamin; Paradzik, Gabriel; Menth, Michael This paper presents an automated test bench that supports reproducible and holistic benchmarking of data plane and control plane performance. The modular architecture integrates the hardware-based traffic generator P4TG and the software-based traffic generator iperf3 for precise control over test traffic. Additionally, it supports automated Device under Test (DuT) reconfiguration between test runs and metric collection. A case study demonstrates the feasibility of the approach by measuring the performance of a modern P4-based COTS data center switch. Thu, 03 Apr 2025 00:00:00 GMT http://hdl.handle.net/10900/163782 2025-04-03T00:00:00Z