@article{FitzScheegScheeg2022, author = {Fitz, Lukas R. G. and Scheeg, Michaela and Scheeg, Jochen}, title = {Amplifying Human Factors in the Inquiry of SMEs' Needs in Digitalization Collaborations with External Service Providers}, series = {Procedia Computer Science}, volume = {200}, journal = {Procedia Computer Science}, publisher = {Elsevier}, issn = {1877-0509}, doi = {10.1016/j.procs.2022.01.257}, pages = {595 -- 601}, year = {2022}, language = {en} } @article{ScheegDzielinskiFitz2020, author = {Scheeg, Jochen and Dzielinski, Patrick and Fitz, Lukas R. G.}, title = {Analyse von Digitalen Reifegradmodellen f{\"u}r Kleine und Mittlere Unternehmen/Analysis of Digital Maturity Models for SMEs}, publisher = {Institut f{\"u}r Innovations- und Informationsmanagement (ifii)}, year = {2020}, language = {de} } @article{WagenerFitz2022, author = {Wagener, Jan and Fitz, Lukas R. G.}, title = {How to assemble an Automatic Water Dispenser System - Design of a Learning Station feat. Augmented Reality}, publisher = {University of South Florida}, pages = {6}, year = {2022}, language = {en} } @inproceedings{FitzScheeg2023, author = {Fitz, Lukas R. G. and Scheeg, Jochen}, title = {What is Digital about Digital Innovation? An Ontological Discussion of Digitality}, series = {Konferenz: 29th Americas Conference on Information Systems}, booktitle = {Konferenz: 29th Americas Conference on Information Systems}, publisher = {Panama City, Panama}, year = {2023}, abstract = {"Digital" is a popular adjective for concepts related to electronic, computerized or networked processes in current research and practice. From an ontological-theoretical perspective, the prevalence of digital things triggers the question, how Digitality itself could be conceptualized. This article studies the ontology of Digitality and consequently discusses Digital Innovation (DI) from a new perspective. First, literature on Digitality is analyzed. Based on the findings, an ontological conceptual framework of Digitality (OCFD) is proposed. It describes four layers of Digitality: physical foundations, virtuality, digital culture and world, and digital metaphysics. From a human perspective, requirements to grasp and embody Digitality are highlighted, as well as the expansion of reality. Finally, Digitality is discussed as a paradigm of DI and exemplary digital phenomena are projected onto the OCFD. This paper contributes to DI research and practice through theory-building towards a better understanding of ontological characteristics and practical implications of Digitality in DI.}, language = {en} } @masterthesis{Radke2025, type = {Bachelor Thesis}, author = {Radke, Niclas}, title = {Entwicklung einer mobilen Incident-Response-Netzwerksensorik zur Analyse von Datenverkehr in kompromittierten Netzwerken}, publisher = {Technische Hochschule Brandenburg}, address = {Brandenburg an der Havel}, doi = {10.25933/opus4-3360}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:522-opus4-33608}, school = {Technische Hochschule Brandenburg}, pages = {89}, year = {2025}, abstract = {Das Ziel der vorliegenden Arbeit ist es, die These zu best{\"a}tigen, dass sich eine mobile Incident-Response-Netzwerksensorik in einer zuvor unbekannten Netzwerkumgebung innerhalb eines festgelegten Zeitraums installieren l{\"a}sst und die forensische Analyse entscheidend unterst{\"u}tzen kann. Dazu wurden Anforderungen an die mobile Netzwerksensorik mithilfe von zwei Experteninterviews erhoben, deren Erf{\"u}llung an die Best{\"a}tigung der These gekoppelt ist. Zur Umsetzung der Anforderungen wurden Soft- und Hardwarekomponenten ausgew{\"a}hlt, die in Kombination die Netzwerksensorik bilden. Bei der Softwareauswahl zeigte sich, dass die Plattforml{\"o}sung Security Onion aufgrund der Vielzahl implementierter Softwarekomponenten, der umfangreichen Dokumentation und der Architektur besser geeignet ist, die Projektanforderungen zu erf{\"u}llen und damit die These zu best{\"a}tigen, als Clear NDR. Durch drei Versuche konnte die These erfolgreich best{\"a}tigt werden. Damit liefert die Arbeit wichtige Grundlagen f{\"u}r die Implementierung einer mobilen Netzwerksensorik. Durch weitere Versuche und die in dieser Arbeit vorgestellten Hardwareempfehlungen kann in Zukunft eine praxistaugliche mobile Netzwerksensorik in Betrieb genommen werden.}, language = {de} } @masterthesis{Schumacher2025, type = {Bachelor Thesis}, author = {Schumacher, Jan Gregor}, title = {Untersuchung von Response-Optionen der Wazuh Endpoint-Detection zur Isolierung verd{\"a}chtiger Endger{\"a}te}, publisher = {Technische Hochschule Brandenburg}, address = {Brandenburg an der Havel}, doi = {10.25933/opus4-3362}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:522-opus4-33624}, school = {Technische Hochschule Brandenburg}, pages = {63}, year = {2025}, abstract = {Diese Arbeit entwickelt und realisiert automatisierte Reaktionsme-chanismen zur Netzwerkisolierung kompromittierter Endger{\"a}te mit-tels der Open-Source-Plattform Wazuh. Es werden zwei Ans{\"a}tze als Proof of Concept implementiert und verglichen: eine host-basierte Isolierung durch Deaktivierung der lokalen Netzwerk-schnittstelle (Windows/Linux) und eine netzwerk-basierte Methode, die den Switch-Port des Ger{\"a}ts zentral abschaltet. Die Validierung in einer Testumgebung zeigt, dass die host-basierte Methode eine schnelle Reaktion erm{\"o}glicht, w{\"a}hrend der netzwerk-basierte An-satz unempfindlicher gegen{\"u}ber Manipulationen auf dem Host ist.}, language = {de} } @article{VogelWoelferRamirezDiazetal.2020, author = {Vogel, Sven and W{\"o}lfer, Christian and Ramirez-Diaz, Diego and Flassig, Robert and Sundmacher, Kai and Schwille, Petra}, title = {Symmetry Breaking and Emergence of Directional Flows in Minimal Actomyosin Cortices}, series = {Cells}, journal = {Cells}, publisher = {MDPI}, doi = {10.3390/cells9061432}, pages = {1 -- 10}, year = {2020}, abstract = {Cortical actomyosin flows, among other mechanisms, scale up spontaneous symmetry breaking and thus play pivotal roles in cell differentiation, division, and motility. According to many model systems, myosin motor-induced local contractions of initially isotropic actomyosin cortices are nucleation points for generating cortical flows. However, the positive feedback mechanisms by which spontaneous contractions can be amplified towards large-scale directed flows remain mostly speculative. To investigate such a process on spherical surfaces, we reconstituted and confined initially isotropic minimal actomyosin cortices to the interfaces of emulsion droplets. The presence of ATP leads to myosin-induced local contractions that self-organize and amplify into directed large-scale actomyosin flows. By combining our experiments with theory, we found that the feedback mechanism leading to a coordinated directional motion of actomyosin clusters can be described as asymmetric cluster vibrations, caused by intrinsic non-isotropic ATP consumption with spatial confinement. We identified fingerprints of vibrational states as the basis of directed motions by tracking individual actomyosin clusters. These vibrations may represent a generic key driver of directed actomyosin flows under spatial confinement in vitro and in living systems.}, language = {en} } @inproceedings{VeldyaevaFitzScheeg2023, author = {Veldyaeva, Ekaterina and Fitz, Lukas R. G. and Scheeg, Jochen}, title = {Developing Digital Competencies in Small and Medium-Sized Enterprises Through Microlearning Applications: A Research Agenda}, series = {Konferenz: Perspectives in Business Informatics Research 22nd International Conference on Business Informatics Research, BIR 2023, Ascoli Piceno, Italy, September 13-15, 2023, Proceedings}, booktitle = {Konferenz: Perspectives in Business Informatics Research 22nd International Conference on Business Informatics Research, BIR 2023, Ascoli Piceno, Italy, September 13-15, 2023, Proceedings}, doi = {10.1007/978-3-031-43126-5_7}, pages = {41 -- 58}, year = {2023}, abstract = {This article presents a research outline on the use of microlearning applications to develop digital competencies in Small and Medium-sized Enter-prises (SMEs). The digital transformation of businesses has become essential for their survival, and SMEs need to develop digital competencies (DC) to remain competitive in the market. Microlearning (ML), a form of learning that involves small, bite-sized learning modules, has been gaining popularity in recent years as a way to efficiently and effectively develop skills. Through a semi-systematic literature review approach, our study examines prevalent knowledge in the area of ML and DC and discusses interrelations. As a result, we propose a research roadmap consisting of six research questions targeting four dimensions of ML for DC development in SMEs: 1) context, 2) formats, 3) reward system, and 4) complexity level.}, language = {en} } @incollection{FitzScheeg2023, author = {Fitz, Lukas R. G. and Scheeg, Jochen}, title = {Small Businesses Participating in Digital Platform Ecosystems - A Descriptive Literature Review}, series = {Digital Transformation. PLAIS EuroSymposium 2023. Lecture Notes in Business Information Processing}, booktitle = {Digital Transformation. PLAIS EuroSymposium 2023. Lecture Notes in Business Information Processing}, doi = {10.1007/978-3-031-43590-4_3}, year = {2023}, abstract = {The emergence of digital multi-sided platforms has disrupted day-to-day business in many industries. Nowadays, many small businesses participate in digital platform (DP) ecosystems and act as value creators or complementors. Investigating the small business perspective does not have a rich tradition in platform research yet. In response, this paper presents a systematic literature review (SLR) analyzing the thematic points of focus and highlighting new avenues for information systems and small business research. We find that objectives related to digital transformation, digital strategy- and business model-development, and DP adoption are fundamental topics in the conjunction of small business and DP ecosystems. Based on the findings, an agenda for future research is developed, including propositions for practice-oriented and human-centered approaches fostering sustilience, innovation capabilities and digital leadership competencies in small businesses facing DP ecosystem participation.}, language = {en} } @article{GoschinVogelFlassig2022, author = {Goschin, Tobias and Vogel, Mathias and Flassig, Robert}, title = {Energy Technologies For Decarbonizing The Steel Processing Industry - A Numerical Study}, series = {IFAC-PapersOnLine}, volume = {55}, journal = {IFAC-PapersOnLine}, number = {9}, publisher = {Elsevier}, doi = {https://doi.org/10.1016/j.ifacol.2022.07.001}, pages = {1 -- 5}, year = {2022}, abstract = {This study analyzes approaches to decarbonize the energy supply of the secondary steel processing industry. Therefore, real data from a secondary steel production company is used in combination with state-of-the art low carbon energy supply technologies. Also, the use of waste heat from a pusher furnace for process integration is considered. The developed temporal process model allows holistic optimizing and expanding the steel making process system regarding techno-economic criteria. As we show, implementing the annual heat demand of a municipality shows that a nearly 100 \% self-sufficient heat supply is possible.}, language = {en} } @article{KantJohannsenCreutzburg2021, author = {Kant, Daniel and Johannsen, Andreas and Creutzburg, Reiner}, title = {Analysis of IoT Security Risks based on the exposure of the MQTT Protocol}, series = {Electronic Imaging}, volume = {33}, journal = {Electronic Imaging}, publisher = {Society for Imaging Science and Technology}, doi = {10.2352/ISSN.2470-1173.2021.3.MOBMU-096}, pages = {096-1 -- 096-8}, year = {2021}, language = {en} } @inproceedings{HeidenreichFranczykJohannsen2022, author = {Heidenreich, Michael and Franczyk, Bogdan and Johannsen, Andreas}, title = {Evaluation study of an IT security measurement method for micro-enterprises}, series = {Proc. of the International Conference on Electrical, Computer and Energy Technologies (ICECET 2022) 20-22 July 2022, Prague-Czech Republic}, booktitle = {Proc. of the International Conference on Electrical, Computer and Energy Technologies (ICECET 2022) 20-22 July 2022, Prague-Czech Republic}, publisher = {IEEE}, doi = {10.1109/ICECET55527.2022.9873487}, year = {2022}, language = {en} } @inproceedings{VogelGoschinFlassig2022, author = {Vogel, Mathias and Goschin, Tobias and Flassig, Robert}, title = {Techno-economic analysis of excess wind energy utilization in the energy supply of residential quarters}, series = {Konferenz: Symposium on Control of Power and Energy Systems (CPES), 2022/ Konferenzband:11th IFAC Symposium on Control of Power and Energy Systems (CPES 2022)}, booktitle = {Konferenz: Symposium on Control of Power and Energy Systems (CPES), 2022/ Konferenzband:11th IFAC Symposium on Control of Power and Energy Systems (CPES 2022)}, publisher = {Elsevier}, doi = {10.32479/ijeep.8067}, pages = {558}, year = {2022}, language = {en} } @article{TrittelKloppHarthetal.2022, author = {Trittel, Torsten and Klopp, Christoph and Harth, Kirsten and Stannarius, Ralf}, title = {Stability and Rupture of Liquid Crystal Bridges under Microgravity}, series = {Crystals}, volume = {12}, journal = {Crystals}, number = {8}, publisher = {MDPI}, doi = {https://doi.org/10.3390/cryst12081092}, pages = {16}, year = {2022}, language = {en} } @inproceedings{WagnerKitzelmannBoersch2025, author = {Wagner, Robin and Kitzelmann, Emanuel and Boersch, Ingo}, title = {Mitigating Hallucination by Integrating Knowledge Graphs into LLM Inference - a Systematic Literature Review}, series = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)}, booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)}, publisher = {Association for Computational Linguistics}, address = {Vienna}, doi = {10.18653/v1/2025.acl-srw.53}, pages = {795 -- 805}, year = {2025}, abstract = {Large Language Models (LLMs) demonstrate strong performance on different language tasks, but tend to hallucinate - generate plausible but factually incorrect outputs. Recently, several approaches to integrate Knowledge Graphs (KGs) into LLM inference were published to reduce hallucinations. This paper presents a systematic literature review (SLR) of such approaches. Following established SLR methodology, we identified relevant work by systematically search in different academic online libraries and applying a selection process. Nine publications were chosen for indepth analysis. Our synthesis reveals differences and similarities of how the KG is accessed, traversed, and how the context is finally assembled. KG integration can significantly improve LLM performance on benchmark datasets and additionally to mitigate hallucination enhance reasoning capabilities, explainability, and access to domain-specific knowledge. We also point out current limitations and outline directions for future work.}, language = {en} } @inproceedings{KalbitzVielhauer2019, author = {Kalbitz, Michael and Vielhauer, Claus}, title = {Automated forensic ink determination in handwritten documents by clustering}, series = {2019 27th European Signal Processing Conference (EUSIPCO) Ort: A Coru{\~n}a, Spanien, 2. bis 6. September 2019}, booktitle = {2019 27th European Signal Processing Conference (EUSIPCO) Ort: A Coru{\~n}a, Spanien, 2. bis 6. September 2019}, publisher = {IEEE}, address = {New York}, isbn = {978-9-0827-9703-9}, issn = {2076-1465}, doi = {10.23919/EUSIPCO.2019.8903107}, pages = {1 -- 5}, year = {2019}, language = {en} } @unpublished{TusetPeiroPilgermannPeguerolesetal.2025, author = {Tuset-Peiro, Pere and Pilgermann, Michael and Pegueroles, Josep and Vilajosana, Xavier}, title = {Assessing Cybersecurity of Internet-Facing Medical IT Systems in Germany \& Spain Using OSINT Tools}, doi = {10.20944/preprints202503.1340.v1}, pages = {190 -- 197}, year = {2025}, abstract = {This paper investigates cybersecurity threats in medical IT (Information Technology) systems exposed to the Internet. To that end, we develop a methodology and build a data processing pipeline that allows to gather data from different OSINT (Open Source Intelligence) sources, and processes it to obtain relevant cybersecurity metrics. To validate its operation and usefulness, we apply it to two countries, Germany and Spain, allowing to study the main threats that affect medical IT systems in these countries. Our initial findings reveal that 20\% of German hosts and 15\% of Spanish hosts tagged as medical devices have at least one CVE (Common Vulnerabilities and Exposures) with a CVSS (Common Vulnerability Scoring System) graded as critical (i.e., value 8 or greater). Moreover, we found that 74\% of CVEs found in German hosts are dated from earlier than 2020, whereas for Spanish hosts the percentage is 60\%. This indicates that medical IT systems exposed to the Internet are seldom updated, which further increases their exposure to cyberthreats. Based on these initial findings, we finish the paper providing some insights on how to improve cybersecurity of these systems.}, language = {en} } @book{Kraska2025, author = {Kraska, Martin}, title = {Engineering Calculations with SMath}, publisher = {Technische Hochschule Brandenburg}, address = {Brandenburg an der Havel}, doi = {10.25933/opus4-3370}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:522-opus4-33709}, publisher = {Technische Hochschule Brandenburg}, pages = {41}, year = {2025}, abstract = {Introduction to SMath Studio covering the topics installation, configuration, creating text and formulas, scientific units, graphics, embedded images. The tutorial takes approximately 2 hours to complete.}, subject = {SMath}, language = {en} } @article{WeberSteinPilgermannetal.2023, author = {Weber, Simon B. and Stein, Stefan and Pilgermann, Michael and Schrader, Thomas}, title = {Attack Detection for Medical Cyber-Physical Systems - A Systematic Literature Review}, series = {IEEE Access}, journal = {IEEE Access}, number = {11}, publisher = {IEEE}, doi = {10.1109/ACCESS.2023.3270225}, pages = {41796 -- 41815}, year = {2023}, abstract = {The threat situation due to cyber attacks in hospitals is emerging and patient life is at risk. One significant source of potential vulnerabilities is medical cyber-physical systems (MCPS). Detecting intrusions in this environment faces challenges different from other domains, mainly due to the heterogeneity of devices, the diversity of connectivity types, and the variety of terminology. To summarize existing results, we conducted a structured literature review (SLR) following the guidelines of Kitchenham et al. for SLRs in software engineering. We developed six research questions regarding detection approach, detection location, included features, adversarial focus, utilized datasets, and intrusion prevention. We identified that most researchers focused on an anomaly-based detection approach at the network layer. The primary focus was on the detection of malicious insiders. While several researchers used publicly available datasets for training and testing their algorithms, the lack of suitable datasets resulted in the development of testbeds consisting of various medical devices. Based on the results, we formulated five future research topics. First, the special conditions of hospital networks, the MCPS deployed within them, and the contrasts to other IT and OT environments should be examined. Thereupon, MCPS-specific datasets should be created that allow researchers to address the health domain's unique requirements and possibilities. At the same time, endeavors aimed at standardization in this area should be supported and expanded. Moreover, the use of medical context for attack detection should be further explored. Last but not least, efforts for MCPS-tailored intrusion prevention should be intensified. This way, the emerging threat landscape can be addressed, IT security in hospitals can be improved, and patient health can be protected.}, language = {en} } @article{JamilMihajloskaTrpcheskaPopovskaMitrovikjetal., author = {Jamil, Mahnoor and Mihajloska Trpcheska, Hristina and Popovska-Mitrovikj, Aleksandra and Dimitrova, Vesna and Creutzburg, Reiner}, title = {Advancing Image Spam Detection: Evaluating Machine Learning Models Through Comparative Analysis}, series = {Applied Sciences}, volume = {15}, journal = {Applied Sciences}, number = {11}, publisher = {MDPI}, issn = {2076-3417}, doi = {10.3390/app15116158}, abstract = {Image-based spam poses a significant challenge for traditional text-based filters, as malicious content is often embedded within images to bypass keyword detection techniques. This study investigates and compares the performance of six machine learning models—ResNet50, XGBoost, Logistic Regression, LightGBM, Support Vector Machine (SVM), and VGG16—using a curated dataset containing 678 legitimate (ham) and 520 spam images. The novelty of this research lies in its comprehensive side-by-side evaluation of diverse models on the same dataset, using standardized dataset preprocessing, balanced data splits, and validation techniques. Model performance was assessed using evaluation metrics such as accuracy, receiver operating characteristic (ROC) curve, precision, recall, and area under the curve (AUC). The results indicate that ResNet50 achieved the highest classification performance, followed closely by XGBoost and Logistic Regression. This work provides practical insights into the strengths and limitations of traditional, ensemble-based, and deep learning models for image-based spam detection. The findings can support the development of more effective and generalizable spam filtering solutions in multimedia-rich communication platforms.}, language = {en} }