
doi: 10.1109/sose.2014.52
This paper details a schema developed for defining malicious behavior in software. The presented approach enables malware analysts to identify and categorize malicious software through its high-level goals as well as down to the individual functions executed on operating system level. We demonstrate the practical application of the schema by mapping dynamically extracted system call patterns to a comprehensive hierarchy of malicious behavior.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
