Research On The Technology Of Massive Mobile Applications Data Processing

With the explosive increase in mobile applications, more and more threats migrate from traditional PC platform to mobile device. Taking Android as the representative of the mobile Internet platform is gradually becoming a malicious application breed of heavy disaster area. As an important entrance of mobile Internet, a large number of application distribution ways such as third-party app markets are emerging. Security monitoring of massive applications in existing domestic application stores is a focus in the field of information security. So It is in urgent need to study the related problems of malicious application security detection and protection etc. This paper focuses on data processing of massive mobile application and efficiency improvement of large numbers of application security detection. And a data processing system is designed and implemented, which can manage concurrent application detection tasks efficiently.This paper is based on the study of Android application security analysis technology and depth analysis of massive data processing technology. Firstly, security situation of mobile applications is introduced. With the springing up of malicious applications, the study of security detection of massive mobile application and data processing is badly needed. Then, this paper optimizes the process of APK feature extraction according to characteristics of Android applications. The APK features are extracted in advance so as to build local feature database, which simplifies the data processing. For security detection of massive application, distributed parallel computing and load balancing task scheduling algorithm is put forward in order to manage concurrent mobile application processing tasks. Finally, a massive mobile application processing system is designed and implemented. Through data testing and analysis, the availability of the whole system is verified.