All in One! User Perceptions on Centralized IoT Privacy Settings

Marky, Karola; Zimmermann, Verena; Stöver, Alina; Hoffmann, Philipp; Kunze, Kai; Mühlhäuser, Max

doi:10.1145/3334480.3383016

Cited by 12 publications

(6 citation statements)

References 12 publications

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“…In this work, we focused on authentication as a sub-domain of USEC research. However, USEC research covers much more including privacy on IoT devices [65,93,113], users' perception of technologies (e.g., drones [12]) and how they affect privacy and security, or social engineering [36,59]. Based on the results and our experience conducting this work, we discuss two potential research directions where we see great potential of VR studies as a study method.…”

Section: Vr Studies For Human-centred Usability Privacy and Security Researchmentioning

confidence: 99%

RepliCueAuth: Validating the Use of a Lab-Based Virtual Reality Setup for Evaluating Authentication Systems

Mathis

Vaniea

Khamis

2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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Figure 1: We evaluate and discuss the suitability of using Virtual Reality (VR) to conduct human-centred usability and security evaluations of real-world authentication systems. To this end, we replicated a recently introduced authentication scheme called CueAuth [52] (➊) into VR (➋). We then evaluate the usability and security of our replica and compare the results to the real-world evaluation of CueAuth [52].

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Section: Vr Studies For Human-centred Usability Privacy and Security Researchmentioning

confidence: 99%

RepliCueAuth: Validating the Use of a Lab-Based Virtual Reality Setup for Evaluating Authentication Systems

Mathis

Vaniea

Khamis

2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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“…Previous research found that current smarthome systems frequently fail to meet users' privacy demands and expectations [27,45]. Some studies thus designed various smart home interfaces and systems to enhance the data transparency in a smart home and enable better privacy settings [14,16,36,44]. Through surveys, interviews, and co-design workshops, researchers find that users have a strong need for data control [12,49].…”

Section: Smart Home Privacy Research and Access Controlmentioning

confidence: 99%

Contextualizing Interpersonal Data Sharing in Smart Homes

He,

Reitinger,

Almogbil

et al. 2024

PoPETs

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A key feature of smart home devices is monitoring the environment and recording data. These devices provide security via motion-detection video alerts, cost-savings via thermostat usage history, and peace of mind via functions like auto-locking doors or water leak detectors. At the same time, the sharing of this information in interpersonal relationships---though necessary---is currently accomplished on an all-or-nothing basis. This can easily lead to oversharing in a multi-user environment. Although prior work has studied people's perceptions of information sharing with vendors or ISPs, the sharing of household data among users who interact personally is less well understood. Interpersonal situations make data sharing much more context-based and, thus, more complicated. In this paper, we use themes from the theory of contextual integrity in an online survey (n=1,992) to study how people perceive data sharing with others in smart homes and inform future designs and research. Our results show that data recipients in a smart home can be reduced to three major groups, and data types matter more than device types. We also found that the types of access control desired by users can vary from scenario to scenario. Depending on whom they are sharing data with and about what data, participants expressed varying levels of comfort when presented with different types of access control (e.g., explicit approval versus time-limited access). Taken together, this provides strong evidence that a more dynamic access control system is needed, and we can design it in a more usable way.

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“…4.2.5 RQ2: Multiple inter-connected devices. For this theme, we found only a small number of (four) papers [7,34,119,166], which are briefly introduced below.…”

Section: Periodmentioning

confidence: 99%

“…Sikder et al [166] discussed the complex and conflicting demands of multiple users in a multi-device home compared to a single-users environments and suggested a new access control system called Kratos to enhance awareness of related environment. Marky et al [119] (lab-based study, 𝑛 = 15) found that users would prefer to have detailed information about each device, a clear status communication, more dynamic and rule-based settings, and delegation options to adjust privacy settings in a multi-device setting.…”

Section: Periodmentioning

confidence: 99%

“…Access control issues in a multi-user home were discussed by three groups of researchers [77,84,200], who conducted scenario-based analyses and discussed challenges of using smart devices in a multi-user environment, including coarse-grained access control resulting in either complete access or no access to users, intended or unintended threats to the primary user's data. Marky et al [119] investigated a prototype for multi-setting interface to adjust privacy settings by multiple users with multiple devices (experiment, 𝑛 = 15) and found that users prefer ability to access detailed information with the settings. By exploring security and privacy implications in a multi-user home, Zeng and Roesner [200] designed a prototype with different access control features (i.e., location-based, supervisory).…”

Section: Rq5mentioning

confidence: 99%

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A Survey of User Perspectives on Security and Privacy in a Home Networking Environment

Nandita

Nurse

2023

ACM Comput. Surv.

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The security and privacy of smart home systems, particularly from a home user’s perspective, have been a very active research area in recent years. However, via a meta-review of 52 review papers covering related topics (published between 2000 and 2021), this paper shows a lack of a more recent literature review on user perspectives of smart home security and privacy since the 2010s. This identified gap motivated us to conduct a systematic literature review (SLR) covering 126 relevant research papers published from 2010 to 2021. Our SLR led to the discovery of a number of important areas where further research is needed; these include holistic methods that consider a more diverse and heterogeneous range of home devices, interactions between multiple home users, complicated data flow between multiple home devices and home users, some less-studied demographic factors, and advanced conceptual frameworks. Based on these findings, we recommended key future research directions, e.g., research for a better understanding of security and privacy aspects in different multi-device and multi-user contexts, and a more comprehensive ontology on the security and privacy of the smart home covering varying types of home devices and behaviors of different types of home users.

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All in One! User Perceptions on Centralized IoT Privacy Settings

Cited by 12 publications

References 12 publications

RepliCueAuth: Validating the Use of a Lab-Based Virtual Reality Setup for Evaluating Authentication Systems

RepliCueAuth: Validating the Use of a Lab-Based Virtual Reality Setup for Evaluating Authentication Systems

Contextualizing Interpersonal Data Sharing in Smart Homes

A Survey of User Perspectives on Security and Privacy in a Home Networking Environment

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