TY - JOUR A1 - John, Stefanie A1 - Orlowski, Katja A1 - Mrkor, Kai-Uwe A1 - Edelmann-Nusser, Jürgen A1 - Witte, Kerstin T1 - Differences in hip muscle strength and static balance in patients with transfemoral amputations classified at different K-levels : A preliminary cross-sectional study JF - Canadian Prosthetics & Orthotics Journal (CPOJ) KW - Amputation KW - K-level KW - Balance KW - Transfemoral amputation KW - Muscle strength KW - Residual limb KW - Static balance Y1 - 2022 U6 - https://doi.org/10.33137/cpoj.v5i1.37456 SN - 2561-987X VL - Vol. 5 IS - No.1 PB - University of Toronto Libraries ER - TY - JOUR A1 - Schnitzer, Julia T1 - Generative Design For Creators – The Impact Of Data Driven Visualization And Processing In The Field Of Creative Business JF - Electronic Imaging Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-022 SN - 2470-1173 SP - 022-1 EP - 022-6 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Oeppert, Luise A1 - Hartz, Tobias A1 - Wehner, Kathrin A1 - Schrader, Thomas A1 - Meier, Jens T1 - FHIR-Datenmodell zur Übermittlung von Tumordaten zwischen Krebsregistern und IQTIG JF - GMS Medizinische Informatik, Biometrie und Epidemiologie KW - Computer applications to medicine KW - Medical informatics KW - Internal medicine KW - Infectious and parasitic diseases Y1 - 2021 UR - https://doaj.org/article/dc0151fdba764800ac9c652e3ad4eb40 U6 - https://doi.org/10.3205/mibe000231 VL - 17 IS - Iss 4 PB - German Medical Science GMS Publishing House ER - TY - JOUR A1 - John, Stefanie A1 - Weizel, David A1 - Heumann, Anna Sophie A1 - Fischer, Anja A1 - Orlowski, Katja A1 - Mrkor, Kai-Uwe A1 - Edelmann-Nusser, Jürgen A1 - Witte, Kerstin T1 - Persisting inter‐limb differences in patients following total hip arthroplasty four to five years after surgery? A preliminary cross‐sectional study JF - BMC Musculoskelet Disorders KW - Gait KW - Inter-limb difference KW - Muscle strength KW - Range of motion KW - Balance KW - Total hip arthroplasty Y1 - 2021 U6 - https://doi.org/10.1186/s12891-021-04099-7 SN - 1471-2474 VL - 22 PB - BioMed Central ER - TY - JOUR A1 - Rojek, Lukasz A1 - Islam, Saiful A1 - Hartmann, Michael A1 - Creutzburg, Reiner T1 - IoT-Based Real-Time Monitoring System for a Smart Energy House JF - Electronic Imaging KW - AI KW - Raspberry Pi KW - low cost sensors KW - monitoring KW - networking KW - real-time KW - smart energy house KW - smart home Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-038 SN - 2470-1173 SP - 38-1 EP - 38-10 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Franziska A1 - Schwarz, Klaus A1 - Fuchs, Daniel A1 - Creutzburg, Reiner A1 - Akopian, David T1 - Firmware Vulnerability Analysis of Widely Used Low-Budget TP-Link Routers JF - Electronic Imaging KW - cybersecurity KW - firmware analysis KW - firmware vulnerabilities KW - internet security KW - router forensics KW - router security KW - smart home KW - smart home devices Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-135 SN - 2470-1173 SP - 135-1 EP - 135-11 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Islam, Saiful A1 - Patil, Sanket Shrikant A1 - Rafajlovski, Goran A1 - Hartmann, Michael A1 - Creutzburg, Reiner T1 - Technical design and operational control of a decentralized microgrid in rural area JF - Electronic Imaging KW - AI KW - deep learning KW - micro grid KW - mobility KW - sustainability KW - transmission loss Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-097 SN - 2470-1173 SP - 97-1 EP - 97-7 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Pfeiffer, Thomas A1 - Dilip, Khadse Himanshu A1 - Suryawanshi, Raunak A1 - Kishnamurthy, Gnana Swaroop A1 - Téllez, Batcheva Domínguez A1 - Creutzburg, Reiner A1 - Hartmann, Michael T1 - Airflow visualization and air purifier positioning optimization in potentially COVID-19 contaminated classrooms JF - Electronic Imaging KW - Covid-19 KW - aeroso KW - airflow visualization Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-039 SN - 2470-1173 SP - 39-1 EP - 39-15 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Hasche, Eberhard A1 - Karaschewski, Oliver A1 - Creutzburg, Reiner T1 - Using ACES Look Modification Transforms (LMTs) in VFX Environments – Part 2: Gamut Mapping JF - Electronic Imaging KW - 3ARRI footage KW - ACES KW - VFX KW - color gamut KW - color management KW - color spaces KW - tone mapping Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-108 SN - 2470-1173 SP - 108-1 EP - 108-14 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Franziska A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Improving Detection of Manipulated Passport Photos - Train- ing Course for Border Control Inspectors to Detect Morphed Facial Passport Photos - Part I: Introduction, State-of-the-Art and Preparatory Tests and Experiments JF - Electronic Imaging KW - border control KW - face morphing KW - homeland security KW - image forensic KW - image morphing KW - passport control KW - passport photo manipulation KW - security Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-136 SN - 2470-1173 SP - 136-1 EP - 136-9 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Richter, Maximilian A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Conception and Implementation of Professional Laboratory Exercises in the field of ICS/SCADA Security Part II: Red Teaming and Blue Teaming JF - Electronic Imaging KW - Blue Team KW - Censys KW - Maltego KW - OSINT KW - Red Team KW - Shodan KW - cybersecurity KW - open source intelligence Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-074 SN - 2470-1173 SP - 74-1 EP - 74-13 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Bassey, Uduak A1 - Rojek, Lukasz A1 - Hartmann, Michael A1 - Creutzburg, Reiner A1 - Volland, Arne T1 - The potential of NIR spectroscopy in the separation of plastics for pyrolysis JF - Electronic Imaging KW - identification KW - near-infrared KW - plasics KW - pyrolysis KW - separation KW - spectroscopy KW - wasre sorting KW - waste2energy Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-143 SN - 2470-1173 SP - 143-1 EP - 143-14 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Richter, Maximilian A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Conception and Implementation of Professional Laboratory Exercises in the field of ICS/SCADA Security - Part I: Fundamentals JF - Electronic imaging KW - Blue Team KW - Censys KW - Maltego KW - OSINT KW - Red Team KW - Shodan KW - cybersecurity KW - open source intelligence Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-073 SP - 73-1 EP - 73-13 PB - Society for Imaging Science and Technology ER - TY - JOUR A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Design of Professional Laboratory Exercises for Effective State-of-the-Art OSINT Investigation Tools - Part 1: RiskIQ Passive-Total JF - Electronic imaging KW - Censys KW - Maltego KW - OSINT KW - RiskIQ PassiveTotal KW - Shodan KW - big data KW - cybersecurity training KW - open-source intelligence Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-043 SN - 2470-1173 SP - 43-1 EP - 43-7 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Design of Professional Laboratory Exercises for Effective State-of-the-Art OSINT Investigation Tools - Part 2: Censys JF - Electronic Imaging KW - Censys KW - Maltego KW - OSINT KW - RiskIQ PassiveTotal KW - Shodan KW - big data KW - cybersecurity training KW - open-source intelligence Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-044 SN - 2470-1173 SP - 44-1 EP - 44-8 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Design of Professional Laboratory Exercises for Effective State-of-the-Art OSINT Investigation Tools - Part 3: Maltego JF - Electronic Imaging KW - 3D Saliency KW - Censys KW - Convolutional Neural Network KW - Human Visual System KW - Maltego KW - OSINT KW - RiskIQ PassiveTotal KW - Shodan KW - Stereoscopic image quality assessment KW - big data KW - cybersecurity training KW - open-source intelligence Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-045 SP - 45-1 EP - 45-23 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - CHAP A1 - Creutzburg, Reiner A1 - McCallum, Simon A1 - Kim, Stefan A1 - van Rüschen, Raoul T1 - Volumetric Terrain Rendering with WebGL T2 - Electronic Imaging: Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications, 28. Januar bis 1. Februar 2018, Burlingame, Kalifornien, USA Y1 - 2018 U6 - https://doi.org/10.2352/issn.2470-1173.2018.06.mobmu-136 SN - 2470-1173 SP - 136-1 EP - 136-14 PB - Society for Imaging Science and Technology CY - Kilworth Lane / Springfield, Virginia, USA ER - TY - JOUR A1 - Beck, Eberhard A1 - Schrader, Thomas A1 - Tetzlaff, Laura A1 - Schröder, Cornelia T1 - Prospektive Risikoanalyse: Die Ähnlichkeit von Medikamentennamen in der Drugbank-Datenbank T1 - Prospective risk analysis: The similarity of drug names in the Drugbank database JF - GMS Medizinische Informatik, Biometrie und Epidemiologie Y1 - 2018 U6 - https://doi.org/10.3205/mibe000187 VL - 14 IS - 2 SP - 1/7 EP - 7/7 ER - TY - JOUR A1 - Beck, Eberhard A1 - Tetzlaff, Laura A1 - Schröder, Cornelia A1 - Schrader, Thomas T1 - Die Datenqualität des CIRSmedical – geeignet für eine systematische Analyse? JF - GMS Medizinische Informatik, Biometrie und Epidemiologie T2 - The data quality of CIRSmedical – suitable for a systematic analysis? Y1 - 2018 U6 - https://doi.org/10.3205/mibe000188 VL - 14 IS - 2 SP - Doc10-1 EP - Doc10-9 ER - TY - JOUR A1 - Beck, Eberhard A1 - Rödiger, Stefan A1 - Liefold, Marius A1 - Ruhe, Madeleine A1 - Reinwald, Mark A1 - Deckert, P. Markus T1 - Quantification of DNA double-strand breaks in peripheral blood mononuclear cells from healthy donors exposed to bendamustine by an automated γH2AX assay—an exploratory study JF - Journal of Laboratory and Precision Medicine Y1 - 2018 U6 - https://doi.org/10.21037/jlpm.2018.04.10 VL - 3 IS - 5 SP - 47-12 ER - TY - JOUR A1 - Schwarz, Franziska A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - New Methodology and Checklist of Wi-Fi Connected and App-Controlled IoT-Based Consumer Market Smart Home Devices JF - Electronic Imaging KW - Internet of Things KW - IoT KW - IoT security KW - cybersecurity KW - privacy KW - security KW - smart home KW - smart home devices Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-276 SN - 2470-1173 SP - 276-1 EP - 276-15 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Franziska A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Security and Privacy Investigation of Wi-Fi Connected and App-Controlled IoT-Based Consumer Market Smart Light Bulbs JF - Electronic Imaging KW - Internet of Things KW - IoT KW - cybersecurity KW - privacy KW - security KW - smart home KW - smart home devices Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-275 SN - 2470-1173 SP - 275-1 EP - 275-11 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Klaus A1 - Schwarz, Franziska A1 - Creutzburg, Reiner T1 - Conception and implementation of professional laboratory exercises in the field of open source intelligence (OSINT) JF - Electronic Imaging KW - Open Source Intelligence KW - OSINT KW - cybersecurity KW - Shodan KW - PassiveTotal KW - Censys KW - Maltego Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-278 SN - 2470-1173 SP - 278-1 EP - 278-10 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Franziska A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Conception of a Secure Remote Maintenance Procedure Using Dedicated Hardware JF - Electronic Imaging KW - secure remote service KW - secure remote control KW - firewall KW - critical infrastructure maintenance KW - cybersecurity KW - secure remote desktop KW - healthcare security KW - security Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-336 SN - 2470-1173 SP - 336-1 EP - 336-7 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Hasche, Eberhard A1 - Benning, Dominik A1 - Karaschewski, Oliver A1 - Carstens, Florian A1 - Creutzburg, Reiner T1 - Creating high-resolution 360-degree single-line 25K video content for modern conference rooms using film compositing techniques JF - Electronic Imaging KW - 360 panorama KW - VR an AR KW - film compsiting KW - high resolution panorama Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-206 SN - 2470-1173 SP - 206-1 EP - 206-14 PB - Society for Imaging Science and Technology ER - TY - JOUR A1 - Hasche, Eberhard A1 - Benning, Dominik A1 - Creutzburg, Reiner T1 - Using ACES Look Modification Transforms (LMTs) in a Visual Effects Production Environment –Part 1: Rec.709 Inputsand Outputs JF - Electronic Imaging KW - ACES KW - Academy Color Encoding System KW - LMT KW - Look Modification Transform KW - VFX Environment Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-205 SN - 2470-1173 SP - 205-1 EP - 205-14 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Yüksel, Benjamin A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - AI-based anomaly detection for cyberattacks on Windows systems-Creation of a prototype for automated monitoring of the process environment JF - Electronic Imaging KW - anomaly detection KW - artificial intelligence KW - Automated Windows system monitoring KW - cybersecurity KW - machine learning KW - neural networks Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-331 SN - 2470-1173 SP - 331-1 EP - 331-13 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Linke, Christian A1 - Mantke, René A1 - Creutzburg, Reiner T1 - International Biobanking Interface Service – A Concept forHealth Sciences in the Digital Age JF - Electronic Imaging KW - biobank KW - digital healthcare KW - eHealth KW - mHealth KW - mobile healthcare Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-304 SN - 2470-1173 SP - 304-1 EP - 304-6 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Loose, Harald T1 - Autonomous mobile robots for outdoor tasks JF - Mechanika N2 - This paper presents a low-cost hardware platform for outdoor robots, being suitable for education, industrial prototyping and private use. The choice of components is discussed, including platform, sensors and controller as well as GPS and image processing hardware. Furthermore, a software approach is proposed, allowing students and researchers to easily implement own algorithms for localization, navigation and the tasks to fulfill. Several robots can be integrated in a framework which connects various different hardware platforms, called the BOSPORUS network. Together with other components, they form an intelligent network for gathering sensor and image data, sensor data fusion, navigation and control of mobile platforms. The architecture of a reference platform on the campus of the Brandenburg University of Applied Sciences is presented and evaluated. Y1 - 2007 U6 - https://doi.org/10.5755/j02.mech.36230 VL - 68 IS - 6 SP - 70 EP - 73 PB - Kaunas University of Technology CY - Kaunas ER - TY - JOUR A1 - Vaher, Ivi A1 - Tamm, Anna-Liisa A1 - Salus, Marit A1 - Reisberg, Kirkke A1 - Vähi, Aleksandra A1 - Pallon, Helena A1 - Paeste, Andra A1 - Pirk, Bäthel-Betty A1 - Merila, Margus A1 - Schrader, Thomas T1 - Effectiveness of massage chair and classic massage in recovery from physical exertion: a pilot study JF - Journal of Novel Physiotherapy and Rehabilitation N2 - Quick and cost-effective recovery is foundational to high-quality training and good competition results in today’s sports. The aim of the research was to elucidate the effects of hand and massage chair massage on the biomechanical parameters of muscles of lower limbs and back, indicators of Pain Pressure Thresholds (PPT) and subjectively perceived fatigue. A total of 32 female recreational athletes (18 – 50 years old) were assigned to a hand massage, massage chair, or lying down the group. They were measured for muscle biomechanical properties (MyotonPro), PPT (Wagner Instruments) and subjectively perceived fatigue (VAS scale) before and after fatigue tests and treatment. The recovery procedure and subjective satisfaction with treatment were rated on a Likert scale. Changes in the median value of m. rectus femoris and m. gastrocnemius stiffness with treatment showed that hand massage could be more effective in reducing stiffness, as compared to chair massage. Hand massage may have benefits for recovery from physical exertion, but due to the individuality of subjects, detailed methodological studies are needed to evaluate the effects of massage chair vs. hand massage. Y1 - 2023 U6 - https://doi.org/10.29328/journal.jnpr.1001050 VL - 2023 IS - 7 SP - 8 EP - 15 PB - HSPI ER - TY - CHAP A1 - Tetzlaff, Laura A1 - Purohit, Anne-Maria A1 - Spallek, Jacob A1 - Holmberg, Christine A1 - Schrader, Thomas T1 - Evaluating Interoperability in German Critical Incident Reporting Systems T2 - German Medical Data Sciences 2023 – Science. Close to People. Proceedings of the 68th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) 2023, Heilbronn, Germany N2 - In industrialised countries, one in ten patients suffers harm during hospitalization. Critical Incident Reporting Systems (CIRS) aim to minimize this by learning from errors and identifying potential risks. However, a lack of interoperability among the 16 CIRS in Germany hampers their effectiveness. Y1 - 2023 U6 - https://doi.org/10.3233/SHTI230722 SP - 249 EP - 257 PB - IOS Press ER - TY - CHAP A1 - Pepe, Alberto A1 - Buchholz, Sven A1 - Lasenby, Joan T1 - Clifford Group Equivariant Neural Network Layers for Protein Structure Prediction T2 - Northern Lights Deep Learning Conference, VOL 233, 09-11 Januar 2024, Tromso, Norwegen N2 - We employ Clifford Group Equivariant Neural Network (CGENN) layers to predict protein coordinates in a Protein Structure Prediction (PSP) pipeline. PSP is the estimation of the 3D structure of a protein, generally through deep learning architectures. Information about the geometry of the protein chain has been proven to be crucial for accurate predictions of 3D structures. However, this information is usually flattened as machine learning features that are not representative of the geometric nature of the problem. Leveraging recent advances in geometric deep learning, we redesign the 3D projector part of a PSP architecture with the addition of CGENN layers . CGENNs can achieve better generalization and robustness when dealing with data that show rotational or translational invariance such as protein coordinates, which are independent of the chosen reference frame. CGENNs inputs, outputs, weights and biases are objects in the Geometric Algebra of 3D Euclidean space, i.e. G3,0,0, and hence are interpretable from a geometrical perspective. We test 6 approaches to PSP and show that CGENN layers increase the accuracy in term of GDT scores by up to 2.1\%, with fewer trainable parameters compared to linear layers and give a clear geometric interpretation of their outputs. Y1 - 2024 UR - https://proceedings.mlr.press/v233/pepe24a/pepe24a.pdf SP - 1 EP - 7 PB - PMLR ER - TY - CHAP A1 - Orlowski, Maximilian A1 - Knauff, Emilia A1 - Marquardt, Florian T1 - Towards Personal Assistants for Energy Processes Based on Locally Deployed LLMs T2 - Proceedings of the 17th International Conference on Agents and Artificial Intelligence (ICAART 2025) , 2025, Porto, Portugal N2 - This paper presents a coaching assistant for network operator processes based on a Retrieval-Augmented Gen- eration (RAG) system leveraging open-source Large Language Models (LLMs) as well as Embedding Models. The system addresses challenges in employee onboarding and training, particularly in the context of increased customer contact due to more complex and extensive processes. Our approach incorporates domain-specific knowledge bases to generate precise, context-aware recommendations while mitigating LLM hallucination. We introduce our systems architecture to run all components on-premise in an our own datacenter, ensuring data security and process knowledge control. We also describe requirements for underlying knowledge doc- uments and their impact on assistant answer quality. Our system aims to improve onboarding accuracy and speed while reducing senior employee workload. The results of our study show that realizing a coaching assistant for German network operators is reasonable, when addressing performance, correctness, integration and locality. However current results regarding accu- racy do not yet meet the requirements for productive use. Y1 - 2025 U6 - https://doi.org/10.5220/0013175600003890 SP - 695 EP - 706 PB - SCITEPRESS ER - TY - JOUR A1 - Lamshöft, Kevin A1 - Neubert, Tom A1 - Hielscher, Jonas A1 - Vielhauer, Claus T1 - Knock, knock, log: Threat analysis, detection & mitigation of covert channels in syslog using port scans as cover JF - Forensic Science International: Digital Investigation Y1 - 2022 U6 - https://doi.org/10.1016/j.fsidi.2022.301335 SN - 2666-2817 VL - 40 PB - Elsevier ER - TY - JOUR A1 - Whiskerd, Nicholas A1 - Körtge, Nicklas A1 - Jürgens, Kris A1 - Ezennaya-Gomez, Salatiel A1 - Vielhauer, Claus A1 - Dittmann, Jana A1 - Hildebrandt, Mario T1 - Keystroke biometrics in the encrypted domain: a first study on search suggestion functions of web search engines JF - EURASIP Journal on Information Security KW - keystroke dynamics KW - biometrics KW - search engines KW - encrypted domain Y1 - 2020 U6 - https://doi.org/10.1186/s13635-020-0100-8 IS - 2020:2 PB - Springer ER - TY - JOUR A1 - Pilgermann, Michael A1 - Bocklisch, Thomas A1 - Creutzburg, Reiner T1 - Conception and implementation of a course for professional training and education in the field of IoT and smart home security JF - Electronic Imaging KW - Internet of Things KW - IoT KW - Smart Home KW - Smart Home Security KW - Cybersecurity KW - Connected Home Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-277 SN - 2470-1173 SP - 277-1 EP - 277-8 PB - Society for Imaging Science and Technology ER - TY - JOUR A1 - Pilgermann, Michael A1 - Werth, Sören A1 - Creutzburg, Reiner T1 - Towards sector specific security operation JF - Electronic Imaging KW - cybersecurity KW - information security KW - network security KW - IT security KW - Security Information Center KW - SOC KW - Security Information and Event Management KW - SIEM KW - security monitoring KW - health care KW - critical infrastructures KW - hospitals KW - HL7 KW - MLLP Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-254 SN - 2470-1173 SP - 254-1 EP - 254-10 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - CHAP A1 - Wagner, Robin A1 - Kitzelmann, Emanuel A1 - Boersch, Ingo T1 - Mitigating Hallucination by Integrating Knowledge Graphs into LLM Inference – a Systematic Literature Review T2 - Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop) N2 - 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. KW - LLMs KW - hallucination KW - knowledge graphs KW - inference KW - literature review Y1 - 2025 UR - https://aclanthology.org/2025.acl-srw.53.pdf U6 - https://doi.org/10.18653/v1/2025.acl-srw.53 SP - 795 EP - 805 PB - Association for Computational Linguistics CY - Vienna ER - TY - INPR A1 - Tuset-Peiro, Pere A1 - Pilgermann, Michael A1 - Pegueroles, Josep A1 - Vilajosana, Xavier T1 - Assessing Cybersecurity of Internet-Facing Medical IT Systems in Germany & Spain Using OSINT Tools N2 - 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. Y1 - 2025 U6 - https://doi.org/10.20944/preprints202503.1340.v1 SP - 190 EP - 197 ER - TY - JOUR A1 - Weber, Simon B. A1 - Stein, Stefan A1 - Pilgermann, Michael A1 - Schrader, Thomas T1 - Attack Detection for Medical Cyber-Physical Systems – A Systematic Literature Review JF - IEEE Access N2 - 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. Y1 - 2023 U6 - https://doi.org/10.1109/ACCESS.2023.3270225 IS - 11 SP - 41796 EP - 41815 PB - IEEE ER - TY - CHAP A1 - Vielhauer, Claus A1 - Loewe, Fabian A1 - Pilgermann, Michael T1 - Towards Modeling Hidden & Steganographic Malware Communication based on Images T2 - IH&MMSEC '25: ACM Workshop on Information Hiding and Multimedia Security, San Jose, CA, USA, 2025 N2 - Recently, an increasing number of IT security incidents involving malware, which makes use of hidden and steganographic channels for malicious communication (a.k.a. as "stegomalware"), can be observed in the wild. Especially the use of images to hide malicious code is rising. In consideration of this shift, a new model is proposed in this paper, which aims to help security professionals to identify and analyze incidents revolving around steganographic malware in the future. The model focuses on practical aspects of steganalysis of communication data to elaborate linking properties to previous code analysis knowledge. The model features two distinct roles that interact with a knowledge base which stores malware features and helps building a context for the incident. For evaluation, two image steganography malware types are chosen from popular databases (malpedia and MITRE ATT&CK®), which are analyzed in multiple steps including steganalysis and code analysis. It is conceptually shown, how the extracted features can be stored in a knowledge base for later use to identify stegomalware from communication data without the need of a thorough code analysis. This allows to uncover previously hidden meta-information about the examined malicious programs, enrich the incident’s forensic context traces and thus allows for thorough forensic insights, including attribution and improved preventive security measures in the future. Y1 - 2025 UR - https://dl.acm.org/doi/pdf/10.1145/3733102.3733152 U6 - https://doi.org/10.1145/3733102.3733152 SP - 52 EP - 63 ER - TY - CHAP A1 - Pepe, Alberto A1 - Lasenby, Joan A1 - Buchholz, Sven T1 - CGAPoseNet+GCAN: A Geometric Clifford Algebra Network for Geometry-aware Camera Pose Regression T2 - Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, US, 2024 N2 - We introduce CGAPoseNet+ GCAN, which enhances CGAPoseNet, an architecture for camera pose regression, with a Geometric Clifford Algebra Network (GCAN). With the addition of the GCAN we obtain a geometry-aware pipeline for camera pose regression from RGB images only. CGAPoseNet employs Clifford Geometric Algebra to unify quaternions and translation vectors into a single mathematical object, the motor, which can be used to uniquely describe camera poses. CGAPoseNet solves the issue of balancing rotation and translation components in the loss function, and can obtain comparable results to other approaches without the need of expensive tuning of the loss function or additional information about the scene, such as 3D point clouds, which might not always be available. CGAPoseNet, however, like several approaches in the literature, only learns to predict motor coefficients, and it is unaware of the mathematical space in which predictions sit in and of their geometrical meaning. By leveraging recent advances in Geometric Deep Learning, we modify CGAPoseNet with a GCAN: proposals of possible motor coefficients associated with a camera frame are obtained from the InceptionV3 backbone, and the GCAN downsamples them to a single motor through a sequence of layers that work in G_ 4, 0. The network is hence geometry-aware, has multivector-valued inputs, weights and biases and preserves the grade of the objects that it receives in input. CGAPoseNet+ GCAN has almost 4 million fewer trainable parameters, it reduces the average rotation error by 41% and the average translation error by 8.8% compared to CGAPoseNet. Similarly, it reduces rotation and translation errors by 32.6% and 19.9%, respectively, compared to the best performing PoseNet strategy. CGAPoseNet+ GCAN reaches the state-of-the-art results on 13 commonly employed datasets. To the best of our knowledge, it is the first experiment in GCANs applied to the problem of camera pose regression. Y1 - 2024 U6 - https://doi.org/10.1109/WACV57701.2024.00646 SP - 6593 EP - 6603 PB - IEEE ER - TY - INPR A1 - Pepe, Alberto A1 - Lasenby, Joan A1 - Buchholz, Sven T1 - STAResNet: A Network in Spacetime Algebra to solve Maxwell's PDEs T2 - arXiv N2 - We introduce STAResNet, a ResNet architecture in Spacetime Algebra (STA) to solve Maxwell's partial differential equations (PDEs). Recently, networks in Geometric Algebra (GA) have been demonstrated to be an asset for truly geometric machine learning. In [1], GA networks have been employed for the first time to solve partial differential equations (PDEs), demonstrating an increased accuracy over real-valued networks. In this work we solve Maxwell's PDEs both in GA and STA employing the same ResNet architecture and dataset, to discuss the impact that the choice of the right algebra has on the accuracy of GA networks. Our study on STAResNet shows how the correct geometric embedding in Clifford Networks gives a mean square error (MSE), between ground truth and estimated fields, up to 2.6 times lower than than obtained with a standard Clifford ResNet with 6 times fewer trainable parameters. STAREsNet demonstrates consistently lower MSE and higher correlation regardless of scenario. The scenarios tested are: sampling period of the dataset; presence of obstacles with either seen or unseen configurations; the number of channels in the ResNet architecture; the number of rollout steps; whether the field is in 2D or 3D space. This demonstrates how choosing the right algebra in Clifford networks is a crucial factor for more compact, accurate, descriptive and better generalising pipelines. Y1 - 2024 UR - https://arxiv.org/pdf/2408.13619 SP - 1 EP - 17 PB - arXiv ER - TY - CHAP A1 - Pepe, Alberto A1 - Lasenby, Joan A1 - Buchholz, Sven T1 - GA-ReLU: an activation function for Geometric Algebra Networks applied to 2D Navier-Stokes PDEs T2 - ICLR 2024 Workshop on AI4DifferentialEquations In Science, Wien, Österreich N2 - Many differential equations describing physical phenomena are intrinsically geometric in nature. It has been demonstrated how this geometric structure of data can be captured effectively through networks sitting in Geometric Algebra (GA) that work with multivectors, making them suitable candidates to solve differential equations. GA networks however, are still mostly uncharted territory. In this paper we focus on non-linearities, since applying them to multivectors is not a trivial task: they are generally applied in a point-wise fashion over each real-valued component of a multivector. This approach discards interactions between different elements of the multivector input and compromises the geometric nature of GA networks. To bridge this gap, we propose GA-ReLU, a GA approach to the rectified linear unit (ReLU), and show how it can improve the solution of Navier-Stokes PDEs. Y1 - 2024 UR - https://openreview.net/pdf?id=T54Hn1e98P SP - 1 EP - 6 ER - TY - CHAP A1 - Trancón y Widemann, Baltasar A1 - Lepper, Markus ED - Ertl, M. Anton ED - Kirsch, Christoph M. T1 - Imagine There’s No Source Code: Replay Diagnostic Location Information in Dynamic EDSL Meta-programming T2 - MPLR 2024: Proceedings of the 21st ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes N2 - Programs in embedded domain-specific languages are realized as graphs of objects of the host language rather than as static input texts. This property enables dynamic meta-programming, but also makes it harder to attach location information to diagnostic messages that arise at a later stage, after the program graph construction. Thus, EDSL-generating expressions and algorithms can be difficult to debug. Here, we present a technique for transparently capturing and replaying location information about the origin of EDSL program objects. It has been implemented in the context of the LLJava-live EDSL-to-bytecode compiler framework on the JVM. The basic idea can be generalized to other contexts, and to any managed runtime environment with reified stack traces Y1 - 2024 U6 - https://doi.org/10.1145/3679007.3685061 SP - 1 EP - 11 PB - ACM CY - New York ER - TY - CHAP A1 - Doudkin, Alexander A1 - Kindsmüller, Martin Christof T1 - Do not touch! - An artistic climate data visualization using motion capturing and 3D computer graphics T2 - Mensch und Computer 2024 – Workshopband, Gesellschaft für Informatik e.V., 01.-04. September 2024, Karlsruhe, German N2 - This demo explores an innovative artistic installation that creatively visualizes global temperature data using graphical visualization and motion capture technologies. By combining video-based posture capturing of nearby individuals with a dynamically rendered 3D model of the planet Earth, this installation offers an interactive and immersive experience. The goal is to transform climate change data into an engaging visual format, making it more accessible and impactful for a wide range of audiences. Y1 - 2024 U6 - https://doi.org/10.18420/muc2024-mci-demo-319 SP - 1 EP - 3 PB - Gesellschaft für Informatik e.V. CY - Karlsruhe ER - TY - CHAP A1 - Lepper, Markus A1 - Oehler, Michael A1 - Kinzler, Hartmuth A1 - Trancón y Widemann, Baltasar T1 - Mathematische Remodellierung zur Erforschung der exakten Semantik einfacher konventioneller Notationssysteme T2 - Notation. Schnittstelle zwischen Komposition, Interpretation und Analyse. 19. Jahreskongress der Gesellschaft für Musiktheorie Zürich 2019 (GMTH Proceedings 2019) N2 - Das Projekt semPart – Semantik der Partitur versucht, durch Übertragung von Methoden der Informatik auf die musikalische Notation exakte Aussagen über deren Semantik zu erzielen. Dies geschieht durch Remodellierung, also durch das Erstellen kleiner mathematischer Modelle, die jeweils das historisch-kulturell bestimmte Dekodieren von isolierten Parameter-Schichten eines Notates nachbilden. Erstes wichtiges Ergebnis ist, dass es in keinem Bereich jemals eine einzige ›richtige‹ Definition von Syntax und Semantik geben kann, sondern einen Katalog von vielfältigen theoretisch möglichen und in der Praxis auch angetroffenen Varianten. Diese sind durch ihre Remodellierung exakt identifizier- und benennbar; ihre Gesamtheit bildet ein Raster, durch das Notationsstile und -werkzeuge beschreib- und vergleichbar werden. Dieses Raster und die Remodelle sind besonders politisch wichtig, zur Förderung einer öffentlichen Diskussion von Notationssystemen und ihren Eigenschaften, da zunehmend die Arbeitsweise von digitalen Werkzeugen die notationelle Praxis zu überformen und zu filtrieren droht. The project semPart – Semantics of the Musical Score tries to clarify the semantics of musical notation by applying methods from informatics. This is done by remodelling, i. e., constructing small mathematical models that mimic the mentally and culturally determined processes taking place when decoding isolated parameters in musical notation. The first important result is that there can never be one single ‘correct’ definition of semantics in any area but rather a catalogue of many theoretically possible variants encountered in practice. Through their remodelling, these can be precisely identified and named; their totality constitutes a classification grid applicable to styles, corpora, single scores and digital tools such as editors or encoding standards. This grid and the remodels are of particular political importance in promoting a public discussion on notation systems and their characteristics, given that the increasing use of digital processing systems threatens to over-shape and narrow down notational practice. Y1 - 2023 UR - https://www.gmth.de/proceedings/artikel/257.aspx U6 - https://doi.org/10.31751/p.257 SP - 69 EP - 85 PB - Gesellschaft für Musiktheorie (GMTH) e.V. ER - TY - JOUR A1 - Stein, Stefan A1 - Pilgermann, Michael A1 - Sedlmayr, Martin T1 - Systematic Evaluation of Manufacturer Disclosure Statements for Medical Device Security (MDS2) to Strengthen Hospital OT Security Measures – Lessons Learned JF - Studies in health technology and informatics N2 - The growing number of connected medical devices in hospitals poses serious operational technology (OT) security challenges. Effective countermeasures require a structured analysis of the communication interfaces and security configurations of individual devices. State of the art: Although Manufacturer Disclosure Statements for Medical Device Security (MDS2, Version 2019) offer relevant information, they are rarely integrated into cybersecurity workflows. Existing studies are limited in scope and lack scalable methodologies for systematic evaluation. Concept: This study analyzed 209 MDS2 documents and 161 security white papers to extract structured information on ports, protocols, and protective measures. Over 52,000 question–answer pairs were converted into a machine-readable format using customized parsing and validation routines. The aim was to establish whether this dataset could inform risk assessments and future applications involving Large Language Models (LLMs). Implementation: The analysis revealed 367 distinct ports, including common protocols such as HTTPS (443), DICOM (104), and RDP (3389), as well as vendor-specific proprietary ports. Approximately 40% of the devices used over 20 ports, indicating a broad attack surface. OCR errors and inconsistent formatting required manual corrections. A consolidated dataset was developed to support clustering, comparison across vendors and versions, and preparation for downstream LLM use, particularly via structured SBOM and configuration data. Lessons learned: Although no model training was conducted, the structured dataset can support AI-based OT security workflows. The findings highlight the critical need for up-to-date, machine-readable manufacturer data in standardized formats and schemas. Such information could greatly enhance the automation, comparability, and scalability of hospital cybersecurity measures. Y1 - 2025 U6 - https://doi.org/10.3233/SHTI251404 VL - 331 SP - 256 EP - 264 ER - TY - JOUR A1 - Khuntsaria, Irakli A1 - Gachechiladze, Konstantine A1 - Liparta, Elene A1 - Kobulashvili, Tamar A1 - Jorbenadze, Mariam A1 - Revazishvili, Tamaz A1 - Mamiseishvili, Ana A1 - Kekelia, Elene A1 - Topuridze, Marina A1 - Sturua, Lela A1 - Schrader, Thomas A1 - Kldiashvili, Ekaterina T1 - Strategic implementation of HPV vaccination to eliminate cervical cancer in Georgia JF - Public Health in Practice N2 - Objectives Human Papillomavirus (HPV) is a prevalent sexually transmitted infection and a leading cause of cervical cancer. In Georgia, cervical cancer ranks as the fifth most common cancer among women, with approximately 330 new cases and 200 deaths reported annually. Despite the availability of effective HPV vaccines, national vaccination coverage remains low. This study aimed to evaluate HPV vaccination coverage, analyze cervical cancer incidence trends, and model the potential impact of increased vaccination uptake on cancer prevention outcomes in Georgia. Study design A retrospective observational study was conducted using national health registry data and modeling projections to assess the burden of cervical cancer and estimate the effect of scaled vaccination coverage. Methods National health databases were used to analyze HPV vaccination rates and cervical cancer incidence. Descriptive statistics, chi-square tests, and linear regression were applied to identify trends and disparities. Additionally, a dynamic transmission model was developed to simulate the 10-year impact of increasing HPV vaccination coverage on cervical cancer incidence. Results The crude cervical cancer incidence rate was 15.7 per 100,000 women, with an age-standardized rate of 10.6 per 100,000. In 2022, only 38 % of eligible girls aged 13–18 received the first HPV vaccine dose, and 26 % completed the second dose. Regional disparities in vaccination and screening were noted, and overall screening coverage declined to 13,890 women screened in 2022. Modeling showed that increasing vaccine coverage to 60 % could reduce cervical cancer incidence by 50 % (preventing ∼163 cases); coverage of 80 % and 90 % could reduce incidence by 70 % and 85 %, preventing 228 and 276 cases, respectively. Conclusion Low HPV vaccination uptake in Georgia (38 % first dose and 26 % dull coverage) and declining screening limit cervical cancer prevention. Modeling shows that increasing vaccination coverage to 60–90 % could prevent 163–276 cases over the next decade. Strengthening vaccination and screening strategies is essential to move forward elimination. Y1 - 2025 U6 - https://doi.org/10.1016/j.puhip.2025.100679 VL - 2025 IS - 10 SP - 1 EP - 4 PB - Elsevier ER - TY - CHAP A1 - Querner, Erich A1 - Ewerling, Philipp A1 - Kindsmüller, Martin Christof T1 - Touch gets it done, tangibles make it fun? Balancing objective accuracy and user experience T2 - Mensch und Computer 2025 - Workshopband : MCI-WS11: 18th Workshop “Be-greifbare Interaktion”. Chemnitz. 31. August - 03. September 2025 N2 - This study compares Tangible User Interfaces (TUIs) with conventional touch interfaces (CTIs) on multi-touch tables for exploratory multi-user map applications. We developed a prototype that enables multiple users to interact with map content simultaneously and independently. Four interaction methods were implemented and evaluated: gesture-based touch control, widget-based touch joystick control, and two tangible interaction variants (a joystick and car-steering metaphor). A user study with 15 participants was conducted in which users navigated predefined routes with varying difficulty. We collected both objective performance measurements and subjective user assessments. While touch-based methods yielded higher accuracy in objective metrics, TUI-based interactions were rated significantly better by participants in terms of user experience. Notably, the car-steering tangible control was particularly well-received, highlighting how physical, playful interaction can enhance usability despite lower accuracy. These findings contribute to our understanding of how different interaction paradigms support collaborative exploration on multi-touch surfaces. Y1 - 2025 U6 - https://doi.org/https://doi.org/10.18420/muc2025-mci-ws11-164 SP - 1 EP - 6 PB - Gesellschaft für Informatik ER - TY - CHAP A1 - Simmering, Veronika A1 - Pfeiffer, Thies A1 - Kindsmüller, Martin Christof T1 - The Impact of Embodiment and Output Modality on Learning with Conversational Agents in VR T2 - GI Workshop 2025 on Virtual and Augmented Reality : VR/AR 2025, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, Bonn 2025 N2 - In Virtual Reality (VR) learning applications, the integration of pedagogical agents is particularly promising, as they function as a virtual social support. With the recent developments in Large Language Models (LLMs), conversational language models are now available that enable natural language interaction in a VR environment. We evaluated four possible designs for LLM-based agents (푛 = 21) in an aircraft-engine training. Focusing on the primary questions when bringing LLM-based agents into VR: whether to use text or speech and whether to embody the conversational agent in 3D or not. Pre- and post-tests were used to measure retention and questionnaires were used to measure the User Experience (UX) of different design variants. Contrary to our hypotheses, retention was higher when using a non-embodied design compared to an embodied design. The output modality did not have a significant impact on the learning success, but it did have an impact on the UX. Y1 - 2025 U6 - https://doi.org/10.18420/vrar2025_12 SN - 2944-7682 SP - 235 EP - 254 PB - Gesellschaft für Informatik ER - TY - CHAP A1 - Querner, Erich A1 - Ewerling, Philipp A1 - Kindsmüller, Martin Christof T1 - Setting the Stage for Collaboration: A Multi-View Table for Touch and Tangible Map Interaction T2 - Mensch und Computer 2025 - Workshopband : MCI-WS11: 18th Workshop “Be-greifbare Interaktion”. Chemnitz. 31. August - 03. September 2025 N2 - We present a multi-user map application based on a novel multiview concept that enables simultaneous and independent interaction with shared geospatial content. Each user operates a personal View Finder and Focus View, color-coded for clarity, while a shared, immutable Context View provides a common reference frame. The system supports both touch-based and tangible interaction techniques, including gesture control, virtual joysticks, and physical objects. Users can flexibly arrange their workspaces on a multi-touch table, supporting both individual exploration and collaborative tasks. Y1 - 2025 U6 - https://doi.org/10.18420/muc2025-mci-demo-318 SP - 1 EP - 4 PB - Gesellschaft für Informatik ER - TY - JOUR A1 - Stein, Stefan A1 - Pilgermann, Michael A1 - Weber, Simon A1 - Sedlmayr, Martin T1 - Leveraging MDS2 and SBOM data for LLM-assisted vulnerability analysis of medical devices JF - Computational and Structural Biotechnology Journal N2 - This study investigated the use of a semi-automated, Retrieval-Augmented Generation (RAG)-based multi-agent architecture to analyze security-relevant data and assemble specialized exploitation paths targeting medical devices. The input dataset comprised device-specific sources, namely, the Manufacturer Disclosure Statement for Medical Device Security (MDS2) documents and Software Bills of Materials (SBOMs), enriched with public vulnerability databases, including Common Vulnerabilities and Exposures (CVE), Known Exploited Vulnerabilities (KEV), and Metasploit exploit records. The objective was to assess whether a modular, Large Language Model (LLM)-driven agent system could autonomously correlate device metadata with known vulnerabilities and existing exploit information to support structured threat modeling. The architecture follows a static RAG design based on predefined prompts and fixed retrieval logic, without autonomous agent planning or dynamic query adaptation. The developed Vulnerability Intelligence for Threat Analysis in Medical Security (VITAMedSec) system operates under human-prompted supervision and successfully synthesizes actionable insights and exploitation paths without requiring manual step-by-step input during execution. Although technically coherent results were obtained under controlled conditions, real-world validation remains a critical avenue for future research. This study further discusses the dual-use implications of such an agent-based framework, its relevance to patient safety in medical device cybersecurity, and the broader applicability of the proposed architecture to other critical infrastructure sectors. These findings emphasize both the technical potential and ethical responsibility for applying semi-automated AI workflows in medical cybersecurity contexts. Y1 - 2025 U6 - https://doi.org/10.1016/j.csbj.2025.07.012 VL - 28 SP - 267 EP - 280 PB - Elsevier ER - TY - JOUR A1 - Prinz, Alexander A1 - Orlowski, Katja A1 - Beck, Eberhard A1 - Witte, Kerstin T1 - Serious Games for Seniors With Dementia: A Pilot Study JF - Journal of Applied Gerontology N2 - Dementia, marked by cognitive decline, significantly impacts daily life. With global prevalence rising, traditional treatments manage symptoms but have side effects and offer no cure. Non-pharmacological interventions, like serious games, are gaining importance. This study assesses the feasibility and benefits of serious games for people with mild to moderate dementia over a 10-week intervention. Sixty-one patients were recruited, with 35 completing the study. The intervention included six games focusing on physical and cognitive training. Outcome measures were motor function, cognitive assessments, quality of life, and depression. Results showed significant improvements in dynamic balance (p = .013) but no significant changes in other measures. The findings suggest that serious games are feasible and can improve motor functions like balance. However, short intervention periods may limit their impact on cognitive function and quality of life. Longer interventions and personalized game designs are recommended for greater benefits. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:522-opus4-33440 VL - 2025 SP - 1 EP - 11 PB - SAGE ER - TY - JOUR A1 - Kant, Daniel A1 - Johannsen, Andreas A1 - Creutzburg, Reiner T1 - Analysis of IoT Security Risks based on the exposure of the MQTT Protocol JF - IS and T International Symposium on Electronic Imaging Science and Technology KW - Internet of Things KW - Industrial Internet of Thing KW - IoT KW - IIoT KW - MQTT KW - IoT protocol KW - IIoT protocol KW - IoT security KW - IIoT security KW - MQTT vulnerability Y1 - 2021 UR - https://itwirtschaft.de/wp-content/uploads/2021/02/2021_Electronic-Imaging_IoT_Security-BASIC-1.pdf U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-096 N1 - Paper was created within the German program "Mittelstand (SME) 4.0 - Competence Center for IT Economy" of the Ministry for Economic Affairs and Energy VL - 33 SP - 096-1 EP - 096-8 PB - Society for Imaging Science and Technology (IS&T) ER - TY - JOUR A1 - Kant, Daniel A1 - Creutzburg, Reiner A1 - Johannsen, Andreas T1 - Investigation of risks for Critical Infrastructures due to the exposure of SCADA systems and industrial controls on the Internet based on the search engine Shodan JF - IS and T International Symposium on Electronic Imaging Science and Technology KW - Industrial Control System KW - ICS KW - critical infrastructure KW - energy supply KW - Shodan KW - human machine interface KW - industrial protocols KW - remote control protocols KW - remote maintenance protocols Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-253 SN - 2470-1173 SP - 253-1 EP - 253-16 PB - Society for Imaging Science and Technology (IS&T) CY - Springfield, VA ER - TY - JOUR A1 - Johannsen, Andreas A1 - Kant, Daniel A1 - Creutzburg, Reiner T1 - Measuring IT security, compliance and data governance within small and medium-sized IT enterprises JF - IS and T International Symposium on Electronic Imaging Science and Technology KW - IT security KW - compliance KW - data sovereignty KW - data governance KW - security awareness KW - IT security readiness KW - data protection KW - mobile security KW - small and medium-sized IT enterprises Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-252 SN - 2470-1173 SP - 252-1 EP - 252-11 PB - Society for Imaging Science and Technology (IS&T) CY - Springfield, VA ER -