TY - CHAP A1 - Hagen, Dirk A1 - Hasche, Eberhard A1 - Creutzburg, Reiner M. T1 - The 300th anniversary of Immanuel Kant: opportunities and challenges of the mega-event with ethically oriented XR and VFX T2 - SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States N2 - The 300th birthday of the world-famous German philosopher Immanuel Kant (1724-1804) in 2024 offers an extraordinary opportunity to explore integrating advanced technologies into cultural mega-events. This paper examines the opportunities and challenges of using various technologies, such as Extended Reality (XR) and Visual Effects (VFX), to bring this essential European intellectual to a broader audience. These technologies, including technological advances based on real-time rendering in conjunction with LED volumes and high-quality 3D assets, offer immersive and interactive event experiences. However, the use of these technologies presents specific challenges, such as processing limitations and the need to create specialized content, including the development of 3D models relevant to the life and philosophy of Immanuel Kant. This article provides an overview of the current state of such opportunities and challenges and examines their application in the context of this cultural mega-event. The aim is to create a compelling event experience, e.g., as part of a museum visit, while simultaneously using technology in a meaningful educational way. It is essential not to overload historical and intellectual personalities such as Immanuel Kant with technological possibilities in the sense of an ethical responsibility. At the same time, the creation and communication of knowledge require explanation in a museum context or another explanatory framework. Y1 - 2024 U6 - https://doi.org/10.1117/12.3025603 SP - 193 EP - 204 ER - TY - JOUR A1 - Jamil, Mahnoor A1 - Mihajloska Trpcheska, Hristina A1 - Popovska-Mitrovikj, Aleksandra A1 - Dimitrova, Vesna A1 - Creutzburg, Reiner T1 - Advancing Image Spam Detection: Evaluating Machine Learning Models Through Comparative Analysis JF - Applied Sciences N2 - 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. KW - spam detection KW - image spam KW - machine learning KW - Support Vector Machine KW - XGBoost KW - Logistic Regression KW - ResNet50 KW - LightGBM KW - VGG16 Y1 - 2025 U6 - https://doi.org/10.3390/app15116158 SN - 2076-3417 VL - 15 IS - 11 PB - MDPI 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 - TY - JOUR A1 - Hasche, Eberhard A1 - Karaschewski, Oliver A1 - Creutzburg, Reiner ED - Society for Imaging Science and Technology, T1 - RAW images and videos for 30K panoramic projection using the ACES workflow JF - Electronic Imaging Y1 - 2022 UR - https://library.imaging.org/ei/articles/34/3/MOBMU-400 U6 - https://doi.org/10.2352/EI.2022.34.3.MOBMU-400 SN - 2470-1173 IS - 34 SP - 400-1 EP - 400-13 PB - Society for Imaging Science and Technology ER -