The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
“Andromaly”: a behavioral malware detection framework for android devices
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Citations
Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Chandola, V., Banerjee, A., & Kumar, V. (2009) · ACM Computing Surveys · doi:10.1145/1541880.1541882 · Cited by 11,687
Cited by
Crowdroid: behavior-based malware detection system for Android
Burguera, I., Zurutuza, U., & Nadjm-Tehrani, S. (2011) · Proceedings of the 1st ACM workshop on Security and privacy in smartphones and mobile devices · doi:10.1145/2046614.2046619 · Cited by 910
DroidAPIMiner: Mining API-Level Features for Robust Malware Detection in Android
Aafer, Y., Du, W., & Yin, H. (2013) · Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-319-04283-1_6 · Cited by 686
A Comprehensive Review on Malware Detection Approaches
Aslan, O., & Samet, R. (2020) · IEEE Access · doi:10.1109/access.2019.2963724 · Cited by 649
In-vehicle network intrusion detection using deep convolutional neural network
Song, H. M., Woo, J., & Kim, H. K. (2020) · Vehicular Communications · doi:10.1016/j.vehcom.2019.100198 · Cited by 586
Challenges and opportunities in edge computing
Varghese, B., Wang, N., Barbhuiya, S., Kilpatrick, P., & Nikolopoulos, D. S. (2016) · 2016 IEEE International Conference on Smart Cloud (SmartCloud) · doi:10.1109/smartcloud.2016.18 · Cited by 565
Metadata
- Authors
- Shabtai, A., Kanonov, U., Elovici, Y., Glezer, C., & Weiss, Y.
- Venue
- Journal of Intelligent Information Systems
- Published
- 2011-01-06
- Volume
- 38
- Issue
- 1
- Pages
- 161-190
- ISSN
- 0925-9902 (ISSN-L)
- 1573-7675
- OpenAlex
- W1964241047
- Cited by
- 754
- References
- 2
- FWCI
- 70.21
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: “Andromaly”: a behavioral malware detection framework for android devices. https://app.cochat.ai/papers/10.1007/s10844-010-0148-x
- The paper
- Shabtai, A., Kanonov, U., Elovici, Y., Glezer, C., & Weiss, Y. (2012). “Andromaly”: a behavioral malware detection framework for android devices. Journal of Intelligent Information Systems. https://doi.org/10.1007/s10844-010-0148-x
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.
