The DOI matches its Crossref record.
A methodology for empirical analysis of permission-based security models and its application to android
Abstract
Permission-based security models provide controlled access to various system resources. The expressiveness of the permission set plays an important role in providing the right level of granularity in access control. In this work, we present a methodology for the empirical analysis of permission-based security models which makes novel use of the Self-Organizing Map (SOM) algorithm of Kohonen (2001). While the proposed methodology may be applicable to a wide range of architectures, we analyze 1,100 Android applications as a case study. Our methodology is of independent interest for visualization of permission-based systems beyond our present Android-specific empirical analysis. We offer some discussion identifying potential points of improvement for the Android permission model attempting to increase expressiveness where needed without increasing the total number of permissions or overall complexity.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
A Survey of App Store Analysis for Software Engineering
Martin, W., Sarro, F., Jia, Y., Zhang, Y., & Harman, M. (2017) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2016.2630689 · Cited by 459
Lin (2012) · doi:10.1145/2370216.2370290 · Cited by 451
Using probabilistic generative models for ranking risks of Android apps
Peng, H., Gates, C., Sarma, B., Li, N., Qi, Y., Potharaju, R., Nita-Rotaru, C., & Molloy, I. (2012) · Proceedings of the 2012 ACM conference on Computer and communications security · doi:10.1145/2382196.2382224 · Cited by 375
Privacy as part of the app decision-making process
Kelley, P. G., Cranor, L. F., & Sadeh, N. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/2470654.2466466 · Cited by 314
AndroDialysis: Analysis of Android Intent Effectiveness in Malware Detection
Feizollah, A., Anuar, N. B., Salleh, R., Suarez-Tangil, G., & Furnell, S. (2017) · Computers & Security · doi:10.1016/j.cose.2016.11.007 · Cited by 267
Metadata
- Authors
- Barrera, D., Kayacik, H. G., van Oorschot, P. C., & Somayaji, A.
- Venue
- Proceedings of the 17th ACM conference on Computer and communications security
- Publisher
- ACM
- Published
- 2010-10-04
- Pages
- 73-84
- ISSN
- 1543-7221 (ISSN-L)
- OpenAlex
- W1986330503
- Cited by
- 485
- References
- 0
- FWCI
- 116.02
- Type
- conference paper
- Language
- en
- Open access
- closed
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A methodology for empirical analysis of permission-based security models and its application to android. https://app.cochat.ai/papers/10.1145/1866307.1866317
- The paper
- Barrera, D., Kayacik, H. G., van Oorschot, P. C., & Somayaji, A. (2010). A methodology for empirical analysis of permission-based security models and its application to android. Proceedings of the 17th ACM conference on Computer and communications security. https://doi.org/10.1145/1866307.1866317
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
