The DOI matches its Crossref record.
FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps
Abstract
Today's smartphones are a ubiquitous source of private and confidential data. At the same time, smartphone users are plagued by carelessly programmed apps that leak important data by accident, and by malicious apps that exploit their given privileges to copy such data intentionally. While existing static taint-analysis approaches have the potential of detecting such data leaks ahead of time, all approaches for Android use a number of coarse-grain approximations that can yield high numbers of missed leaks and false alarms.
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Cited by
HOLMES: Real-Time APT Detection through Correlation of Suspicious Information Flows
Milajerdi, S. M., Gjomemo, R., Eshete, B., Sekar, R., & Venkatakrishnan, V. N. (2019) · 2019 IEEE Symposium on Security and Privacy (SP) · doi:10.1109/sp.2019.00026 · Cited by 573
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
HelDroid: Dissecting and Detecting Mobile Ransomware
Andronio, N., Zanero, S., & Maggi, F. (2015) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-26362-5_18 · Cited by 246
ReCon: Revealing and Controlling PII Leaks in Mobile Network Traffic
Ren, J., Rao, A., Lindorfer, M., Legout, A., & Choffnes, D. (2016) · Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services · doi:10.1145/2906388.2906392 · Cited by 132
Conceptual framework for the security of mobile health applications on Android platform
Hussain, M., Zaidan, A. A., Zidan, B. B., Iqbal, S., Ahmed, M. M., Albahri, O. S., & Albahri, A. S. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2018.03.005 · Cited by 122
Metadata
- Authors
- Arzt, S., Rasthofer, S., Fritz, C., Bodden, E., Bartel, A., Klein, J., Le Traon, Y., Octeau, D., & McDaniel, P.
- Venue
- Proceedings of the 35th ACM SIGPLAN Conference on Programming Language Design and Implementation
- Publisher
- ACM
- Published
- 2014-06-09
- Pages
- 259-269
- ISSN
- 1531-7102 (ISSN-L)
- OpenAlex
- W2166743230
- Cited by
- 1,396
- References
- 0
- FWCI
- 143.76
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps. https://app.cochat.ai/papers/10.1145/2594291.2594299
- The paper
- Arzt, S., Rasthofer, S., Fritz, C., Bodden, E., Bartel, A., Klein, J., Le Traon, Y., Octeau, D., & McDaniel, P. (2014). FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps. Proceedings of the 35th ACM SIGPLAN Conference on Programming Language Design and Implementation. https://doi.org/10.1145/2594291.2594299
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.
