
The most regular method of detecting malware relies on signature-based detection. Polymorphic malware pose a serious threat to modern computing. The challenge faced with this type of malware is that there is difficult to Antivirus (AV) technology to detect them. This polymorphic malware can't be detected by AV scanners because of mutated code by itself. This mutated code generated by the polymorphic engine, or called as mutation engine to make this malware become more difficult to read. In this paper, researcher examined how to detect polymorphic malware from the list of samples file based on dropped files.
| 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). | 3 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
