The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Using probabilistic generative models for ranking risks of Android apps
Abstract
One of Android's main defense mechanisms against malicious apps is a risk communication mechanism which, before a user installs an app, warns the user about the permissions the app requires, trusting that the user will make the right decision. This approach has been shown to be ineffective as it presents the risk information of each app in a "tand-alone" ashion and in a way that requires too much technical knowledge and time to distill useful information.
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Cites
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Dissecting Android Malware: Characterization and Evolution
Zhou, Y., & Jiang, X. (2012) · 2012 IEEE Symposium on Security and Privacy · doi:10.1109/sp.2012.16 · Cited by 2,133
Android permissions demystified
Felt, A. P., Chin, E., Hanna, S., Song, D., & Wagner, D. (2011) · Proceedings of the 18th ACM conference on Computer and communications security · doi:10.1145/2046707.2046779 · Cited by 1,291
On lightweight mobile phone application certification
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A study of android application security
Enck, W., Octeau, D., McDaniel, P. D., & Chaudhuri, S. (2011) · Cited by 871
Apex: extending Android permission model and enforcement with user-defined runtime constraints
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Spam Filtering with Naive Bayes - Which Naive Bayes?
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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
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
Firdaus, A., Anuar, N. B., Razak, M. F. A., Hashem, I. A. T., Bachok, S., & Sangaiah, A. K. (2018) · Journal of Medical Systems · doi:10.1007/s10916-018-0966-x · Cited by 73
Metadata
- Authors
- Peng, H., Gates, C., Sarma, B., Li, N., Qi, Y., Potharaju, R., Nita-Rotaru, C., & Molloy, I.
- Venue
- Proceedings of the 2012 ACM conference on Computer and communications security
- Publisher
- ACM
- Published
- 2012-10-16
- Pages
- 241-252
- ISSN
- 1543-7221 (ISSN-L)
- OpenAlex
- W2058180826
- Cited by
- 375
- References
- 25
- FWCI
- 34.98
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Peng, H., Gates, C., Sarma, B., Li, N., Qi, Y., Potharaju, R., Nita-Rotaru, C., & Molloy, I. (2012). Using probabilistic generative models for ranking risks of Android apps. Proceedings of the 2012 ACM conference on Computer and communications security. https://doi.org/10.1145/2382196.2382224
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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