TY - JOUR A1 - Johannsen, Andreas A1 - Kant, Daniel T1 - IT-Governance, Risiko- und Compliance-Management (IT‑GRC) – Ein Kompetenz-orientierter Ansatz für KMU JF - HMD Praxis der Wirtschaftsinformatik KW - IT-Governance KW - IT-Risikomanagement KW - IT-Compliance KW - Security Awareness KW - IT-GRC Reifegrad KW - KMU Y1 - 2020 U6 - https://doi.org/10.1365/s40702-020-00625-8 PB - Springer Vieweg CY - Wiesbaden ER - TY - CHAP A1 - Hildebrandt, Mario A1 - Altschaffel, Robert A1 - Lamshöft, Kevin A1 - Lange, Mathias A1 - Szemkus, Martin A1 - Neubert, Tom A1 - Vielhauer, Claus A1 - Ding, Yongjian A1 - Dittmann, Jana T1 - Threat Analysis of Steganographic and Covert Communication in Nuclear I&C Systems T2 - Konferenz: International Conference on Nuclear Security: Sustaining and Strengthening Efforts (ICONS), Vienna, Austria, 2020/ Konferenzband: International Conference on Nuclear Security: Sustaining and Strengthening Efforts N2 - Steganographic and covert communication is increasingly used for hiding attacks. Often information hiding is used by attackers in advanced persistent threats in order to operate without being noticed. Attackers might use it to hide data exfiltration or control channels for persistent malware. The paper analyzes potential threats to operational technology by investigating different communication protocols towards their suitability as cover channels. Using a generalized network architecture model and the communication flows of nuclear power plants, the attack potential using information hiding is exemplary assessed. An example for a supply chain attack for command injection is given on the foundation of the OPC UA protocol and an off-theshelf programmable logic controller. Subsequently, recommendations for a strategic and operational preparation for operators towards the prevention and detection of information hiding attacks are derived. Y1 - 2020 UR - https://www.researchgate.net/publication/350966454_Threat_Analysis_of_Steganographic_and_Covert_Communication_in_Nuclear_IC_Systems PB - IAEA CY - Vienna, Austria ER - TY - JOUR A1 - Scheeg, Jochen A1 - Dzielinski, Patrick A1 - Fitz, Lukas R. G. T1 - Analyse von Digitalen Reifegradmodellen für Kleine und Mittlere Unternehmen/Analysis of Digital Maturity Models for SMEs Y1 - 2020 UR - https://ifii.eu/analysis-digital-maturity-models4sme PB - Institut für Innovations- und Informationsmanagement (ifii) ER - TY - JOUR A1 - Vogel, Sven A1 - Wölfer, Christian A1 - Ramirez-Diaz, Diego A1 - Flassig, Robert A1 - Sundmacher, Kai A1 - Schwille, Petra T1 - Symmetry Breaking and Emergence of Directional Flows in Minimal Actomyosin Cortices JF - Cells N2 - 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. Y1 - 2020 UR - https://www.mdpi.com/2073-4409/9/6/1432 U6 - https://doi.org/10.3390/cells9061432 SP - 1 EP - 10 PB - MDPI ER - TY - JOUR A1 - Schrader, Thomas A1 - Tetzlaff, Laura A1 - Beck, Eberhard A1 - Mindt, Sebastian A1 - Geiss, Friederike A1 - Hauser, Katarina A1 - Franken, Christian T1 - Die Ähnlichkeit von Medikamentennamen als mögliche Ursache von Verwechslungen – eine Untersuchung von Daten aus der ambulanten Versorgung JF - Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen T2 - The similarity of drug names as a possible cause of confusion: Analysis of data from outpatient care KW - Medikamentennamen KW - Ambulante Versorgung KW - Unerwünschte Arzneimittelereignisse Y1 - 2020 U6 - https://doi.org/10.1016/j.zefq.2020.01.006 SN - 1865-9217 (Print) SN - 2212-0289 (Online) PB - Elsevier ER - TY - CHAP A1 - Orlowski, Katja A1 - Gräfe, Gina A1 - Tetzlaff, Laura A1 - Schrader, Thomas A1 - Beck, Eberhard T1 - Individualized Computer-based Training for Elderly in Nursing Homes: A Pilot Study T2 - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, Valletta, Malta KW - Balance Training KW - Computer-based Training KW - Mobility Y1 - 2020 SN - 978-989-758-398-8 U6 - https://doi.org/10.5220/0009162106640669 SP - 664 EP - 669 PB - SciTePress - Science and Technology Publications, Lda. CY - Setúbal, Portugal ER - TY - JOUR A1 - Blasek, Katrin T1 - Chinesischer evergreen: bad faith-Marken in China JF - MarkenR - Zeitschrift für deutsches, europäisches und internationales Kennzeichenrecht Y1 - 2020 VL - 2020 IS - 2 SP - 62 EP - 63 PB - Wolters Kluwer ER - TY - JOUR A1 - Blasek, Katrin T1 - Covid-19-Contact-Tracing-Apps – Leitlinien des EDSA JF - ZD-Aktuell Y1 - 2020 VL - 2020 IS - 9 PB - Beck ER - TY - CHAP A1 - Schlender, Klaus A1 - Behrens, Grit A1 - Creutzburg, Reiner T1 - Maschinelles Lernen von CNN-Modellen zur Segmentierung von Störobjekten auf Gebäudefassaden auf Infrarot- und Farbbildern T2 - Informatik 2021 : Computer science&sustainability T3 - Lecture notes in informatics - P-314 KW - Data Science KW - Deep Neural Network KW - Object Segmentation KW - Region Poposal KW - Convolutional Neural Network KW - thermal images Y1 - 2021 SN - 978-3-88579-708-1 U6 - https://doi.org/10.18420/informatik2021-031 SN - 1617-5468 SP - 375 EP - 388 PB - Bonn CY - Gesellschaft für Informatik ER - TY - CHAP A1 - Kalabina, Elena A1 - Belyak, Olga A1 - Meister, Vera G. A1 - Revina, Aleksandra ED - Kumar, V. T1 - What Kind of Employees’ Team is Necessary for Industrial Digital Transformation? Theoretical and Practical Analysis T2 - Digital Transformation in Industry T3 - Lecture Notes in Information Systems and Organisation - 44 KW - Cross-functional teams KW - Knowledge sharing KW - Organizational and managerial factors Y1 - 2021 SN - 978-3-030-73261-5 (Online) SN - 978-3-030-73260-8 (Print) U6 - https://doi.org/10.1007/978-3-030-73261-5_17 SP - 183 EP - 193 PB - Springer CY - Cham ER -