Malware Detection in Android files based on Multiple levels of Learning and Diverse Data Sources

摘要: Smart mobile device usage has expanded at a very high rate all over the world. Mobile devices have experienced rapid shift from pure telecommunication to small ubiquitous computing platforms. They run sophisticated operating systems that need confront same risks as desktop computers, with Android most targeted platform for malware. The processing power is one of factors differentiate PC's and phones. phones are more compact therefore limited in memory depend on battery their energy needs. Hence developing apps these should take into consideration above mentioned factors. To improve speed detection, multilevel detection mechanism using diverse data sources designed detecting malware balancing between accuracy less compute intensive computations. In this work we analyzed android based analysis sources. We evaluated our collection comprising different families results show proposed method faster good performance