A survey on automated dynamic malware-analysis techniques and tools
TU Wien · EURECOM · +1 more institution
Abstract
Anti-virus vendors are confronted with a multitude of potentially malicious samples today. Receiving thousands of new samples every day is not uncommon. The signatures that detect confirmed malicious threats are mainly still created manually, so it is important to discriminate between samples that pose a new unknown threat and those that are mere variants of known malware. This survey article provides an overview of techniques based on dynamic analysis that are used to analyze potentially malicious samples. It also covers analysis programs that leverage these It also covers analysis programs that employ these techniques to assist human analysts in assessing, in a timely and appropriate manner, whether a given…
Citation impact
- FWCI
- 2.28
- Percentile
- 100%
- References
- 72
Authors
4Topics & keywords
- Malware
- Computer science
- Leverage (statistics)
- Malware analysis
- Computer security
- Sample (material)
- Data science
- Data mining
- Reduced inequalities