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Toward Automated Dynamic Malware Analysis Using CWSandbox
Abstract
Malware is notoriously difficult to combat because it appears and spreads so quickly. In this article, we describe the design and implementation of CWSandbox, a malware analysis tool that fulfills our three design criteria of automation, effectiveness, and correctness for the Win32 family of operating systems
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Cited by
A survey on automated dynamic malware-analysis techniques and tools
Egele, M., Scholte, T., Kirda, E., & Kruegel, C. (2012) · ACM Computing Surveys · doi:10.1145/2089125.2089126 · Cited by 871
A Survey on Malware Detection Using Data Mining Techniques
Ye, Y., Li, T., Adjeroh, D., & Iyengar, S. S. (2018) · ACM Computing Surveys · doi:10.1145/3073559 · Cited by 623
An Android Application Sandbox system for suspicious software detection
Bläsing, T., Batyuk, L., Schmidt, A.-D., Camtepe, S. A., & Albayrak, S. (2010) · 2010 5th International Conference on Malicious and Unwanted Software · doi:10.1109/malware.2010.5665792 · Cited by 452
Dynamic Malware Analysis in the Modern Era—A State of the Art Survey
Or-Meir, O., Nissim, N., Elovici, Y., & Rokach, L. (2020) · ACM Computing Surveys · doi:10.1145/3329786 · Cited by 384
Novel 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
Metadata
- Authors
- Willems, C., Holz, T., & Freiling, F.
- Venue
- IEEE Security and Privacy Magazine
- Published
- 2007-03
- Volume
- 5
- Issue
- 2
- Pages
- 32-39
- ISSN
- 1540-7993 (ISSN-L)
- OpenAlex
- W2111038628
- Cited by
- 739
- References
- 0
- FWCI
- 52.13
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
