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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 -