Study of Malware Detection Technique for Apk and SDK File Using Artificial Immune
نویسندگان
چکیده
The word wide sharply increase in the number of smartphones user, the Android platform pose to becoming a market fugleman that makes the need for malware analysis on this platform an urgent issue. The current Artificial Immune Based malware detection systems they focus on traditional computers that uses information from OS or network, but the smartphone software behavior has its own structure and semantics. Current research cannot detect malware in smartphone exactly and efficiently. To detect these problems, in this paper only study of artificial immune algorithm, capitalize on earlier approaches for dynamic analysis of application behavior as a means for detecting malware in the smartphone as like sdk or android phone as like apk. An Artificial immune based smartphone and android phone malware detection Framework is brought forwards and a prototype system is implemented, that the system can obtain higher detection rate and decrease the false positive rate.
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