
Android operating system has gained a wide popularity in the recent years due to the open environmental nature of the Android framework. This has given a tremendous flux to the Malware developers to target the Android users. Thus, personal privacy theft has become a major issue. Various mobile malware detection systems are proposed in the recent years to address this issue. Operation level, Analysis technique and Accuracy are the core design aspects for any detection method. This paper focuses on surveying the existing mobile malware detection systems. Also, it provides a detailed comparison to summarize and analyze the detection methods under concern.
| 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). | 6 | |
| 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). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
