With the explosive growth of mobile application, more and more threats migrate from traditional PC platform to mobile device. Mobile Internet platform, especially Android platform, is becoming a hotbed of malicious application. The security monitoring of massive applications in application stores is a focus in the field of information security. The study of related topics of security detection and defense of malicious application is badly needed. This paper puts forward a processing method of massive data based on security detection of Android application which intends to improve the efficiency of security detection engine in the face of a large number of concurrent detection task. By parallel extracting characteristic properties of APKs and building local signature database, the detection process can be simplified so as to achieve a good treatment effect.