The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Apposcopy: semantics-based detection of Android malware through static analysis
Abstract
We present Apposcopy, a new semantics-based approach for identifying a prevalent class of Android malware that steals private user information. Apposcopy incorporates (i) a high-level language for specifying signatures that describe semantic characteristics of malware families and (ii) a static analysis for deciding if a given application matches a malware signature. The signature matching algorithm of Apposcopy uses a combination of static taint analysis and a new form of program representation called Inter-Component Call Graph to efficiently detect Android applications that have certain control- and data-flow properties. We have evaluated Apposcopy on a corpus of real-world Android applications and show that it can effectively and reliably pinpoint malicious applications that belong to certain malware families.
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Cites
Drebin: Effective and Explainable Detection of Android Malware in Your Pocket
Arp, D., Spreitzenbarth, M., Hübner, M., Gascon, H., & Rieck, K. (2014) · Proceedings 2014 Network and Distributed System Security Symposium · doi:10.14722/ndss.2014.23247 · Cited by 2,331
TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones
Enck, W., Gilbert, P., Chun, B.-G., Cox, L. P., Jung, J., McDaniel, P. D., & Sheth, A. N. (2010) · doi:10.5555/1924943.1924971 · Cited by 2,238
(2011) · IEEE Software · doi:10.1109/ms.2011.67 · Cited by 1,989
Soot: a Java bytecode optimization framework
Vallée-Rai, R., Co, P., Gagnon, E., Hendren, L., Lam, P., & Sundaresan, V. (2010) · CASCON First Decade High Impact Papers on - CASCON '10 · doi:10.1145/1925805.1925818 · Cited by 933
On lightweight mobile phone application certification
Enck, W., Ongtang, M., & McDaniel, P. (2009) · Proceedings of the 16th ACM conference on Computer and communications security · doi:10.1145/1653662.1653691 · Cited by 921
Program Analysis and Specialization for the C Programming Language
Andersen, L. O., & Lee, P. (2005) · Cited by 899
A study of android application security
Enck, W., Octeau, D., McDaniel, P. D., & Chaudhuri, S. (2011) · Cited by 871
Analyzing inter-application communication in Android
Chin, E., Felt, A. P., Greenwood, K., & Wagner, D. (2011) · Proceedings of the 9th international conference on Mobile systems, applications, and services · doi:10.1145/1999995.2000018 · Cited by 845
Hey, You, Get Off of My Market: Detecting Malicious Apps in Official and Alternative Android Markets
Zhou, Y., Wang, Z., Zhou, W., & Jiang, X. (2012) · Network and Distributed System Security Symposium · Cited by 734
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
Cited by
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
Active Inductive Logic Programming for Code Search
Sivaraman, A., Zhang, T., Van den Broeck, G., & Kim, M. (2019) · 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE) · doi:10.1109/icse.2019.00044 · Cited by 34
Metadata
- Authors
- Feng, Y., Anand, S., Dillig, I., & Aiken, A.
- Venue
- Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering
- Publisher
- ACM
- Published
- 2014-11-11
- Pages
- 576-587
- OpenAlex
- W2127723417
- Cited by
- 437
- References
- 29
- FWCI
- 37.48
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Feng, Y., Anand, S., Dillig, I., & Aiken, A. (2014). Apposcopy: semantics-based detection of Android malware through static analysis. Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering. https://doi.org/10.1145/2635868.2635869
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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.
