@inproceedings{SchweibererRauchBrueckl, author = {Schweiberer, Philipp and Rauch, Johannes and Br{\"u}ckl, Oliver}, title = {Entwicklung eines Regelkonzeptes f{\"u}r einen optimierten Blindleistungsabruf auf Basis von Blindleistungspotentialanalysen bei Industriebetrieben im Mittelspannungsnetz}, series = {Tagungsband Tagung Zuk{\"u}nftige Stromnetze 26./27. Januar 2022 (online)}, booktitle = {Tagungsband Tagung Zuk{\"u}nftige Stromnetze 26./27. Januar 2022 (online)}, publisher = {Conexio-PSE GmbH}, address = {Pforzheim}, isbn = {978-3-948176-16-7}, doi = {10.35096/othr/pub-5870}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-58704}, pages = {224 -- 233}, abstract = {Im Zuge der Energiewende ergibt sich ein Wandel in der Struktur des Elektrizit{\"a}tsversorgungsnetzes. Die Verschiebung der Erzeugungsleistung von konventionellen Großkraftwerken in h{\"o}heren Netzebenen hin zu dezentralen erneuerbaren Energieanlagen in niedrigeren Netzebenen resultiert sowohl in bidirektionalen Lastfl{\"u}ssen als auch in schwankenden Einspeisecharakteristiken. Des Weiteren folgen durch den Wegfall von Großkraftwerken als Blindleistungsquellen Leistungsdefizite in der {\"U}bertragungsnetzebene, die kompensiert werden m{\"u}ssen. Daraus resultieren Herausforderungen an einen sicheren und zuverl{\"a}ssigen Betrieb der Verteil- und {\"U}bertragungsnetze. Neue Konzepte m{\"u}ssen f{\"u}r die Erbringung von Blindleistung entwickelt werden, es soll mehr Blindleistung aus dem Verteilungsnetz zur Verf{\"u}gung gestellt werden, um die Systemstabilit{\"a}t zu wahren. Im Rahmen des Projektes Q-Integral wird das Thema „Blindleistung" (Q) ganzheitlich untersucht. Es werden dazu verschiedene Erbringungsoptionen f{\"u}r Blindleistung hinsichtlich technischer und wirtschaftlicher Potentiale untersucht, die in ein funktionales und effizientes Blindleistungsmanagement eingebracht werden. Die Untersuchungsans{\"a}tze daf{\"u}r sind sowohl spannungsebenen-{\"u}bergreifend als auch netzbetreiber-{\"u}bergreifend. Ein Ansatzpunkt des Projektes ist die Betrachtung der Blindleistungsbereitstellung von Industriebetrieben. Dazu wird das Potential von Betrieben, die an das Verteilnetz angeschlossen sind und Blindleistung durch Kompensations- oder Erzeugungsanlagen bereitstellen k{\"o}nnen, untersucht. Ziel ist es, das gesicherte und maximale induktive sowie kapazitive Potential zu bestimmen. Das gesicherte kapazitive Potential kann genutzt werden, um Aussagen dar{\"u}ber zu treffen, wie stark dem Spannungsfall im vorgelagerten Netz zu Starklastzeiten entgegengewirkt werden kann. Anhand des gesicherten induktiven Potentials kann ein Spannungsanstieg w{\"a}hrend Schwachlastzeiten ausgeglichen werden kann. In diesem Beitrag werden Ergebnisse aus dem Projekt Q-Integral vorgestellt. Dazu werden zuerst die Berechnungsgrundlagen der induktiven und kapazitiven Blindleistungspotentiale aufgezeigt und die Ergebnisse der Berechnungen vorgestellt. Die gewonnen Ergebnisse entstammen aus Messungen an einem Industriebetrieb mit Blindleistungskompensationsanlagen (BKA), den entsprechenden Reglern der Anlagen und einer installierten Kompensationsleistung von 1600 kvar. Sowohl die Lastg{\"a}nge als auch das Schaltverhalten der einzelnen Kompensationsanlagen liegen den Berechnungen zugrunde. Um den Austausch der Blindleistung an der {\"U}bergabestelle des Betriebs zum Mittelspannungsnetz netzdienlich einzustellen, bedarf es eines geeigneten Regelkonzepts, das neben den BKAs auch weitere Q-Quellen ber{\"u}cksichtigt. Deshalb wird abschließend ein Regelkonzept vorgestellt, das den technisch-optimierten Blindleistungsabruf unter Ber{\"u}cksichtigung mehrerer Blindleistungsquellen behandelt.}, language = {de} } @inproceedings{RauchBrueckl, author = {Rauch, Johannes and Br{\"u}ckl, Oliver}, title = {Konzeptionierung netzplanerischer Prozessans{\"a}tze zur Ermittlung von Blindleistungskapazit{\"a}ten zum Ausgleich des Blindleistungsbedarfs in einer Netzregion}, series = {Tagungsband Tagung Zuk{\"u}nftige Stromnetze 26./27. Januar 2022 (online)}, booktitle = {Tagungsband Tagung Zuk{\"u}nftige Stromnetze 26./27. Januar 2022 (online)}, publisher = {Conexio-PSE GmbH}, address = {Pforzheim}, isbn = {978-3-948176-16-7}, doi = {10.35096/othr/pub-5866}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-58665}, pages = {117 -- 126}, abstract = {Um einen sicheren und zuverl{\"a}ssigen Stromnetzbetrieb zu gew{\"a}hrleisten, muss die Spannung im Grundfall als auch bei ungeplanten Ausf{\"a}llen in definierten Bereichen gehalten werden. Im {\"U}bertragungsnetz wird hierf{\"u}r bisher Blindleistung haupts{\"a}chlich aus Blindleistungskompensationsanlagen und konventionellen Großkraftwerken eingesetzt. Zuk{\"u}nftig wird nach \S12h EnWG eine marktgest{\"u}tzte Beschaffung dieser Dienstleistung zur Spannungsregelung vorgeschrieben. Zugleich ver{\"a}ndert sich der Blindleistungsbedarf der Netzbetriebsmittel durch die Integration erneuerbarer Energieanlagen und der Elektromobilit{\"a}t sowie durch den Netzausbau bei {\"U}bertragungs- und Verteilungsnetzbetreibern. Es bedarf somit angepasster Netzbetriebs- und Netzplanungskonzepte f{\"u}r ein technisch effizientes und wirtschaftlich g{\"u}nstiges Blindleistungsmanagement. Dieser Beitrag besch{\"a}ftigt sich damit, Prozessans{\"a}tze und Methodiken f{\"u}r ebendieses in der Netzplanung aufzuzeigen, um erforderliche Blindleistungskapazit{\"a}ten unter minimalen Gesamtkostenaufwand und unter Ber{\"u}cksichtigung einer effizienten Blindleistungsbedarfsdeckung zu bestimmen. Dabei liegt der Fokus verst{\"a}rkt in der Bedarfsanalyse.}, language = {de} } @inproceedings{SchweibererRauchBrueckl, author = {Schweiberer, Philipp and Rauch, Johannes and Br{\"u}ckl, Oliver}, title = {Long-term analysis of industrial reactive power potentials with consideration of plant-internal grid restrictions using the example of an industrial plant in a distribution grid}, series = {NEIS 2022; Conference on Sustainable Energy Supply and Energy Storage Systems, 26-27 September 2022, Hamburg}, booktitle = {NEIS 2022; Conference on Sustainable Energy Supply and Energy Storage Systems, 26-27 September 2022, Hamburg}, editor = {Schulz, Detlef}, publisher = {VDE-Verlag}, address = {Berlin}, isbn = {978-3-8007-5983-5}, issn = {2510-6902}, pages = {51 -- 56}, abstract = {Since conventional generation plants provide a considerable share of reactive power but are gradually being shut down due to energy transition, leading to power deficits at the transmission grid level, new concepts for the supply of reactive power must be developed. As one possibility for the latter, industrial plants in the distribution grid are considered suitable, as their reactive power potentials can contribute to voltage maintenance and thus to a grid- or system-serving behavior. In this paper, the determination of reactive power potentials provided by industrial compensation systems (ICS) is presented. An industrial plant in the medium voltage grid, with three installed ICSs, is investigated. The potentials are determined and described based on their time characteristics, which provide information about the occurrence and distribution of inductive and capacitive potentials. A grid simulation of the investigated industrial grid is used to analyze the effects of retrieving the reactive power potentials regarding equipment utilizations and voltage limits.}, language = {en} } @inproceedings{RauchBruecklEngel, author = {Rauch, Johannes and Br{\"u}ckl, Oliver and Engel, Bernd}, title = {Analysis and optimization of the steady state voltage deviation demand for reactive power planning using installed reactive power sources}, series = {NEIS 2022; Conference on Sustainable Energy Supply and Energy Storage Systems, 26-27 September 2022, Hamburg}, booktitle = {NEIS 2022; Conference on Sustainable Energy Supply and Energy Storage Systems, 26-27 September 2022, Hamburg}, editor = {Schulz, Detlef}, publisher = {VDE-Verlag}, address = {Berlin}, isbn = {978-3-8007-5983-5}, issn = {2510-6902}, pages = {175 -- 182}, abstract = {The provision of reactive power is one option for maintaining the grid voltage, that is defined as an ancillary service in Germany. This paper presents an approach for determining deficient voltage deviation demands within an electrical grid for long term reactive power planning investigations. In contrast to previous approaches, which evaluate the Q-behavior of extended ward elements or grid assets, voltage deviations are analyzed bus-specifically. So further reactive power planning investigations are able to scale and optimize additional reactive power sources directly on planning voltage limits using load flow sensitivity techniques. The focus lies on the analysis of the steady state demand at base case conditions. Therefore, a grid planning process is conceptualized. An optimal power flow algorithm based on Differential Evolution is used for an optimal reactive power dispatch of installed reactive power sources, e. g. reactive power compensation systems or (renewable) energy sources to minimize the total voltage deviation according to voltage limits of Transmission System Operators planning principles. Methodological and processuals specifications as well as an application use case with an exemplary transmission system are presented in this paper.}, language = {en} } @article{FuxenSchoenhaerlSchmidtetal., author = {Fuxen, Philipp and Sch{\"o}nh{\"a}rl, Stefan and Schmidt, Jonas and Gerstner, Mathias and Jahn, Sabrina and Graf, Julian and Hackenberg, Rudolf and Mottok, J{\"u}rgen}, title = {A Cybersecurity Education Platform for Automotive Penetration Testing}, series = {International Journal On Advances in Security}, volume = {15}, journal = {International Journal On Advances in Security}, number = {3\&4}, publisher = {IARIA}, issn = {1942-2636}, pages = {106 -- 118}, abstract = {The paper presents a penetration testing framework for automotive IT security education and evaluates its realization. The automotive sector is changing due to automated driving functions, connected vehicles, and electric vehicles. This development also creates new and more critical vulnerabilities. This paper addresses a possible countermeasure, automotive IT security education. Some existing solutions are evaluated and compared with the created Automotive Penetration Testing Education Platform (APTEP) framework. In addition, the APTEP architecture is described. It consists of three layers representing different attack points of a vehicle. The realization of the APTEP is a hardware case and a virtual platform referred to as the Automotive Network Security Case (ANSKo). The hardware case contains emulated control units and different communication protocols. The virtual platform uses Docker containers to provide a similar experience over the internet. Both offer two kinds of challenges. The first introduces users to a specific interface, while the second combines multiple interfaces, to a complex and realistic challenge. This concept is based on modern didactic theories, such as constructivism and problem-based/challenge-based learning. Computer Science students from the Ostbayerische Technische Hochschule (OTH) Regensburg experienced the challenges as part of a elective subject. In an online survey evaluated in this paper, they gave positive feedback. Also, a part of the evaluation is the mapping of the ANSKo and the maturity levels in the Software Assurance Maturity Model (SAMM) practice Education \& Guidance as well as the SAMM practice Security Testing. The scientific contribution of this paper is to present an APTEP, a corresponding learning concept and an evaluation method.}, language = {en} } @inproceedings{KravanjaBelyaevaHribaretal., author = {Kravanja, Gaia and Belyaeva, Inna A. and Hribar, Luka and Drevenšek-Olenik, Irena and Shamonin (Chamonine), Mikhail and Jezeršek, Matija}, title = {Adaptive Magneto-Responsive Surfaces Fabricated by Laser-Based Microstructuring}, series = {Proceedings of the ASME 2022 Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS 2022): September 12-14, 2022, Dearborn, Michigan}, booktitle = {Proceedings of the ASME 2022 Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS 2022): September 12-14, 2022, Dearborn, Michigan}, publisher = {ASME}, isbn = {978-0-7918-8627-4}, doi = {10.1115/SMASIS2022-90742}, pages = {6}, abstract = {Adaptive surface microstructures are used extensively in nature to control various surface properties such as wettability, adhesion, self-cleaning, drag reduction, etc. Regulation of these properties can be achieved with the appropriate employment of a multitude of smart materials, whose characteristics/response can be controlled by noncontact stimuli, e.g., light, heat, or magnetic field. One of the very promising magneto-regulable smart materials are magnetoactive elastomers (MAEs). They are comprised of a compliant polymer matrix with embedded micrometer-sized ferromagnetic particles. The particles interact with each other and a magnetic field. This results in remarkable tunability of the physical properties of MAEs. This paper reports a fast, resilient, and tailored method for direct surface micromachining of MAEs that enables micro-structuring without mechanical contact between the tool and the material, bypassing the usual constraints of conventional fabrication methods. It is shown that it is possible to fabricate a large variety of different microstructure geometries whose precision is limited predominantly by the size of magnetic particles. Lamellar structures with a high aspect ratio (up to 6:1) oriented either perpendicularly to the surface, can be strongly bent by applying magnetic fields in the range of 0-250 mT.}, language = {en} } @inproceedings{RennerPozzobonMottok, author = {Renner, Sebastian and Pozzobon, Enrico and Mottok, J{\"u}rgen}, title = {Evolving a Boolean Masked Adder Using Neuroevolution}, series = {Attacks and Defenses for the Internet-of-Things, 5th International Workshop, ADIoT 2022: Copenhagen, Denmark, September 30, 2022, Revised Selected Papers}, booktitle = {Attacks and Defenses for the Internet-of-Things, 5th International Workshop, ADIoT 2022: Copenhagen, Denmark, September 30, 2022, Revised Selected Papers}, editor = {Li, Wenjuan and Furnell, Steven and Meng, Weizhi}, publisher = {Springer Nature}, address = {Cham}, isbn = {978-3-031-21310-6}, doi = {10.1007/978-3-031-21311-3_2}, pages = {21 -- 40}, abstract = {The modular addition is a popular building block when designing lightweight ciphers. While algorithms mainly based on the addition can reach very high performance, masking their implementations results in a huge penalty. Since efficient protection against side-channel attacks is a requirement in lots of use cases, we focus on optimizing the Boolean masking of the modular addition. Contrary to recent related work, we target evolving a masked full adder instead of parts of a parallel prefix adder. We study how techniques typically found in neural network evolution and genetic algorithms can be adapted in order to help in evolving an efficiently masked adder. We customize a well-known neuroevolution algorithm, develop an optimized masked adder with our new approach and implement the ChaCha20 cipher on an ARM Cortex-M3 controller. We compare the performance of the protected neuroevolved implementation to solutions found by traditional search methods. Moreover, the leakage of our new solution is validated by a t-test conducted with a leakage simulator. We present under which circumstances our masked implementation outperforms related work and prove the feasibility of successfully using neuroevolution when searching for complex Boolean networks.}, language = {en} } @inproceedings{RennerPozzobonMottok, author = {Renner, Sebastian and Pozzobon, Enrico and Mottok, J{\"u}rgen}, title = {The Final Round: Benchmarking NIST LWC Ciphers on Microcontrollers}, series = {Attacks and Defenses for the Internet-of-Things, 5th International Workshop, ADIoT 2022: Copenhagen, Denmark, September 30, 2022, Revised Selected Papers}, booktitle = {Attacks and Defenses for the Internet-of-Things, 5th International Workshop, ADIoT 2022: Copenhagen, Denmark, September 30, 2022, Revised Selected Papers}, editor = {Li, Wenjuan and Furnell, Steven and Meng, Weizhi}, publisher = {Springer Nature}, address = {Cham}, isbn = {978-3-031-21311-3}, doi = {10.1007/978-3-031-21311-3_1}, pages = {1 -- 20}, abstract = {In this work, we present our benchmarking results for the ten finalist ciphers of the Lightweight Cryptography (LWC) project initiated by National Institute of Standards and Technology (NIST). We evaluate the speed and code size of various software implementations on five different platforms featuring four different architectures. Moreover, we benchmark the dynamic memory utilization of the remaining NIST LWC algorithms on one 32-bit ARM controller. We describe our test cases and methodology and provide some information regarding the design and properties of the finalists before showing and discussing our results. Altogether, we evaluated almost 300 implementations of the 3rd round candidates and pick the most appropriate and best (primary) implementation of each cipher for our comparisons. We include a variant of AES-GCM in our benchmarking in order to be able to compare the state-of-the-art to the novel LWC ciphers. Our research gives an overview over the performance of the latest software implementations of the NIST LWC finalists and shows under which circumstances which candidate is performing the best in our individual test cases. Additionally, we make all benchmarking results, the code for our test framework and every tested implementation available to the public to ensure a transparent testing process.}, language = {en} } @inproceedings{MaierGrabingerUrlhartetal., author = {Maier, Robert and Grabinger, Lisa and Urlhart, David and Mottok, J{\"u}rgen}, title = {Towards Causal Model-Based Engineering in Automotive System Safety}, series = {Model-Based Safety and Assessment, 8th International Symposium, IMBSA 2022: Munich, Germany, September 5-7, 2022, Proceedings}, booktitle = {Model-Based Safety and Assessment, 8th International Symposium, IMBSA 2022: Munich, Germany, September 5-7, 2022, Proceedings}, editor = {Seguin, Christel and Zeller, Marc and Prosvirnova, Tatiana}, publisher = {Springer Nature}, address = {Cham}, doi = {10.1007/978-3-031-15842-1_9}, pages = {116 -- 129}, abstract = {Engineering is based on the understanding of causes and effects. Thus, causality should also guide the safety assessment of complex systems such as autonomous driving cars. To ensure the safety of the intended functionality of these systems, normative regulations like ISO 21448 recommend scenario-based testing. An important task here is to identify critical scenarios, so-called edge and corner cases. Data-driven approaches to this task (e.g. based on machine learning) cannot adequately address a constantly changing operational design domain. Model-based approaches offer a remedy - they allow including different sources of knowledge (e.g. data, human experts) into safety considerations. With this paper, we outline a novel approach for ensuring automotive system safety. We propose to use structural causal models as a probabilistic modelling language to combine knowledge about an open-context environment from different sources. Based on these models, we investigate parameter configurations that are candidates for critical scenarios. In this paper, we first discuss some aspects of scenario-based testing. We then provide an informal introduction to causal models and relate their development lifecycle to the established V-model. Finally, we outline a generic workflow for using causal models to identify critical scenarios and highlight some challenges that arise in the process.}, language = {en} } @misc{RennerPozzobonMottok, author = {Renner, Sebastian and Pozzobon, Enrico and Mottok, J{\"u}rgen}, title = {3rd Round Ciphers Evaluation on Microcontrollers}, series = {Lightweight Cryptography Workshop (virtual): May 9-11 2022}, journal = {Lightweight Cryptography Workshop (virtual): May 9-11 2022}, publisher = {National Institute of Standards and Technology (NIST)}, address = {Gaithersburg}, language = {en} } @inproceedings{MaierMottok, author = {Maier, Robert and Mottok, J{\"u}rgen}, title = {BayesianSafety - an Open-Source Package for Causality-Guided, Multi-Model Safety Analysis}, series = {Computer Safety, Reliability, and Security, 41st International Conference (SAFECOMP 2022): Munich, Germany, September 6-9, 2022, Proceedings}, booktitle = {Computer Safety, Reliability, and Security, 41st International Conference (SAFECOMP 2022): Munich, Germany, September 6-9, 2022, Proceedings}, editor = {Trapp, Mario and Saglietti, Francesca and Spisl{\"a}nder, Marc and Bitsch, Friedemann}, publisher = {Springer Nature}, address = {Cham}, doi = {10.1007/978-3-031-14835-4_2}, pages = {17 -- 30}, abstract = {Development and verification of modern, dependable automotive systems require appropriate modelling approaches. Classic automotive safety is described by the normative regulations ISO 26262, its relative ISO/PAS 21448, and their respective methodologies. In recent publications, an emerging demand to combine environmental influences, machine learning, or reasoning under uncertainty with standard-compliant analysis techniques can be noticed. Therefore, adapting established methods like FTA and proper tool support is necessary. We argue that Bayesian Networks (BNs) can be used as a central component to address and merge these demands. In this paper, we present our Open-Source Python package BayesianSafety. First, we review how BNs relate to data-driven methods, model-to-model transformations, and causal reasoning. Together with FTA and ETA, these models form the core functionality of our software. After describing currently implemented features and possibilities of combining individual modelling approaches, we provide an informal view of the tool's architecture and of the resulting software ecosystem. By comparing selected publicly available safety and reliability analysis libraries, we outline that many relevant methodologies yield specialized implementations. Finally, we show that there is a demand for a flexible, unifying analysis tool that allows researching system safety by using multi-model and multi-domain approaches.}, language = {en} } @inproceedings{MaierMottok, author = {Maier, Robert and Mottok, J{\"u}rgen}, title = {Causality and Functional Safety - How Causal Models Relate to the Automotive Standards ISO 26262, ISO/PAS 21448, and UL 4600}, series = {27th International Conference on Applied Electronics (AE): 06-07 September 2022, Pilsen, CZ}, booktitle = {27th International Conference on Applied Electronics (AE): 06-07 September 2022, Pilsen, CZ}, publisher = {IEEE}, doi = {10.1109/AE54730.2022.9920053}, pages = {6}, abstract = {With autonomous driving, the system complexity of vehicles will increase drastically. This requires new approaches to ensure system safety. Looking at standards like ISO 26262 or ISO/PAS 21448 and their suggested methodologies, an increasing trend in the recent literature can be noticed to incorporate uncertainty. Often this is done by using Bayesian Networks as a framework to enable probabilistic reasoning. These models can also be used to represent causal relationships. Many publications claim to model cause-effect relations, yet rarely give a formal introduction of the implications and resulting possibilities such an approach may have. This paper aims to link the domains of causal reasoning and automotive system safety by investigating relations between causal models and approaches like FMEA, FTA, or GSN. First, the famous "Ladder of Causation" and its implications on causality are reviewed. Next, we give an informal overview of common hazard and reliability analysis techniques and associate them with probabilistic models. Finally, we analyse a mixed-model methodology called Hybrid Causal Logic, extend its idea, and build the concept of a causal shell model of automotive system safety.}, language = {en} } @inproceedings{MuenchFrauenschlaegerMottok, author = {M{\"u}nch, Andreas and Frauenschl{\"a}ger, Tobias and Mottok, J{\"u}rgen}, title = {Integration of a Security Gateway for Critical Infrastructure into Existing PKI Systems}, series = {3. Symposium Elektronik und Systemintegration (ESI 2022), Tagungsband: 06. April 2022, Hochschule Landshut, Deutschland}, booktitle = {3. Symposium Elektronik und Systemintegration (ESI 2022), Tagungsband: 06. April 2022, Hochschule Landshut, Deutschland}, publisher = {Hochschule Landshut}, address = {Landshut}, isbn = {978-3-9818439-7-2}, pages = {88 -- 97}, language = {en} }