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AccessMiner: using system-centric models for malware protection
Abstract
Models based on system calls are a popular and common approach to characterize the run-time behavior of programs. For example, system calls are used by intrusion detection systems to detect software exploits. As another example, policies based on system calls are used to sandbox applications or to enforce access control. Given that malware represents a significant security threat for today's computing infrastructure, it is not surprising that system calls were also proposed to distinguish between benign processes and malicious code.
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Cited by
A Comprehensive Review on Malware Detection Approaches
Aslan, O., & Samet, R. (2020) · IEEE Access · doi:10.1109/access.2019.2963724 · Cited by 649
Cutting the Gordian Knot: A Look Under the Hood of Ransomware Attacks
Kharraz, A., Robertson, W., Balzarotti, D., Bilge, L., & Kirda, E. (2015) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-20550-2_1 · Cited by 458
Self-citationNovel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
Ahmadi, M., Ulyanov, D., Semenov, S., Trofimov, M., & Giacinto, G. (2016) · Proceedings of the Sixth ACM Conference on Data and Application Security and Privacy · doi:10.1145/2857705.2857713 · Cited by 359
On the feasibility of online malware detection with performance counters
Demme, J., Maycock, M., Schmitz, J., Tang, A., Waksman, A., Sethumadhavan, S., & Stolfo, S. (2013) · Proceedings of the 40th Annual International Symposium on Computer Architecture · doi:10.1145/2485922.2485970 · Cited by 334
Metadata
- Authors
- Lanzi, A., Balzarotti, D., Kruegel, C., Christodorescu, M., & Kirda, E.
- Venue
- Proceedings of the 17th ACM conference on Computer and communications security
- Publisher
- ACM
- Published
- 2010-10-04
- Pages
- 399-412
- ISSN
- 1543-7221 (ISSN-L)
- OpenAlex
- W2125743503
- Cited by
- 177
- References
- 0
- FWCI
- 12.50
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: AccessMiner: using system-centric models for malware protection. https://app.cochat.ai/papers/10.1145/1866307.1866353
- The paper
- Lanzi, A., Balzarotti, D., Kruegel, C., Christodorescu, M., & Kirda, E. (2010). AccessMiner: using system-centric models for malware protection. Proceedings of the 17th ACM conference on Computer and communications security. https://doi.org/10.1145/1866307.1866353
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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.
