For Paper: Ebbers, Karaboga (2022): Influencing Factors for Users' Privacy and Security Protection Behavior in Smart Speakers: Insights from a Swiss User Study. The 4th Workshop on Security, Privacy, Organizations, and Systems Engineering, held at ESORICS 2022

This document represents the original questions for the survey conducted in the paper “Influencing Factors for Users' Privacy and Security Protection Behavior in Smart Speakers: Insights from a Swiss User Study” by Frank Ebbers and Murat Karaboga. Original screenshots and the questions in text are present in German, French and Italian.Gefördert von: Stiftung für Technologiefolgen-Abschätzung TA-Swis

Effects of the GDPR in South East Asia vs. Europe - A Large-scale Analysis of IoT Devices

Tabular Data for a Conference Paper

EIPPBM_IFIPSummerSchool: Image "End-User Information Privacy Protection Behavior"

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Responses of the European IoT ecosystem to the GDPR

Responses of the European IoT ecosystem to the GDPR / Appendix_DiD_Result

The Business Impact of IIoT Vulnerabilities

In recent years, we have witnessed the rapid development and deployment of Industrial Internet of Things (IIoT) devices in organizations and throughout a wide range of application domains. One outcome of the scale and diversity of applications is the emergence of new and critical security threats. These pose significant concerns for an enterprise and need to be addressed strategically at the top level. From an organization’s perspective, what is needed is an appreciation of what these IIoT vulnerabilities mean for the business and how they can be presented to the executive level, which is the motivation behind this inquiry. We provide arguments for the criticality of the situation based on the normal accident theory and employ the action design research approach as the proposed method. The results illustrate the vulnerabilities for the executive level in the form of a dashboard, in order to facilitate management decisions

Cardiac Kinetic Energy and Viscous Dissipation Rate From Radial Flow Data

Recent studies have correlated kinetic energy (KE) and viscous dissipation rate (VDR) in the left ventricle (LV) with heart health. These studies have relied on 4D-flow imaging or computational fluid dynamics modeling, which are able to measure, or compute, all 3 components (3C) of the blood flow velocity in 3 dimensional (3D) space. This richness of data is difficult to acquire clinically. Alternatively, color Doppler echocardiography (CDE) is more widespread clinically, but only measures a single radial component of velocity and typically only over a planar section. Because of this limitation, prior CDE-based studies have first reconstructed a second component of velocity in the measurement plane prior to evaluating VDR or KE. Herein, we propose 1C-based surrogates of KE and VDR that can be derived directly from the radial component of the flow velocity in the LV. Our results demonstrate that the proposed 1C-based surrogates of KE and VDR are generally as well-correlated with the true KE and VDR values as surrogates that use reconstructed 2C flow data. Moreover, the correlation of these 1C-based surrogates with the true values indicate that CDE (3D in particular) may be useful in evaluating these metrics in practice.Funding Agencies|American Heart AssociationAmerican Heart Association [17PRE33660202, 18EIA33900046]</p