Measuring user confidence in smartphone security and privacy
Abstract
In order to direct and build an effective, secure mobile ecosystem, we must first understand user attitudes toward security and privacy for smartphones and how they may differ from attitudes toward more traditional computing systems. What are users' comfort levels in performing different tasks? How do users select applications? What are their overall perceptions of the platform? This understanding will help inform the design of more secure smartphones that will enable users to safely and confidently benefit from the potential and convenience offered by mobile platforms.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
80% of consumers check reviews and ratings before installing an app.
“80% of consumers check reviews and ratings before installing an app [34]”
From RacketStore (2021) · cites this paper as [34]
The citation lists haven’t been fetched yet
References 26 · Cited by 347
- Authors
- Chin, E., Felt, A. P., Sekar, V., & Wagner, D.
- Affiliations
- University of California, Berkeley (US)
- Intel (United States) (US)
- Venue
- Proceedings of the Eighth Symposium on Usable Privacy and Security
- Publisher
- ACM
- Published
- 2012-07-11
- Pages
- 1-16
- OpenAlex
- W2021124779
- Cited by
- 347
- References
- 26
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 9 · 2023: 12 · 2022: 14 · 2021: 18 · 2020: 26 · 2019: 42 · 2018: 37 · 2017: 42 · 2016: 44 · 2015: 27 · 2014: 41 · 2013: 21 · 2012: 4
- FWCI
- 77.10
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Symposium On Usable Privacy and Security (publishedVersion)
- UC Berkeley (submittedVersion)
- Funders
- National Science Foundation
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Keywords
- user confidence, smartphone security, privacy, user attitudes, mobile security, application selection, user comfort
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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