Name
Abstract | ||
|---|---|---|
As many malwares adopt evasive techniques, it becomes less trustworthy to use virtual machines for malware analysis. To solve the problem, malware analysts may use real machines, but they will have original issues like hardware management again. As an alternative option, we developed Emulab-based malware analysis service and a programming library that can transform Emulab, a real machine-based research framework, into a malware analysis infrastructure so that researchers test malware on real machines very conveniently. Experiments showed that our system successfully automated analysis setup and pre- and post-process, thus reducing user interaction overhead by 81 percent.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3297280.3297490 | SAC |
Keywords | Field | DocType |
Emulab, anti-analysis, evasive malware, malware analysis, virtualization | Virtualization,Virtual machine,Trustworthiness,Computer science,Malware,Conceptual framework,Operating system,Malware analysis | Conference |
ISBN | Citations | PageRank |
978-1-4503-5933-7 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gibeom Song | 1 | 0 | 0.34 |
| Manhee Lee | 2 | 40 | 9.04 |