基于Hadoop的移动应用大数据检测平台设计与实现

Design and Implementation of Big Data Detection Platform for Mobile Application Based on Hadoop

移动应用迅速发展的同时违规收集个人信息、过度索权、频繁骚扰用户等移动应用侵害用户权益问题突出。为加强用户个人信息保护,提升行业合规能力,针对目前人工检测效率低、大数据分析能力不足、信息可视化展示不友好等问题,设计了基于Hadoop的移动应用大数据检测平台,实现对移动应用的实时监测、自动化个人信息安全检测、海量检测数据及违规应用数据分析、态势感知及预警、多主题可视化展示,并通过数据应用程序接口提供数据共享服务。

While mobile application is developing rapidly,problems such as the illegal collection of personal information,excessive claims of authority,and frequent harassment by mobile application that infringe on user rights are prominent.In order to strengthen the protection of user personal information and improve industry compliance capabilities,and in view of the current problems of low efficiency of manual detection,insufficient big data analysis capability,and unfriendly visual display of information,a big data detection platform for mobile application based on Hadoop is designed to achieve real-time monitoring of mobile application,automated personal information security testing,analysis of mass testing data and data on offending applications,situational awareness and early warning,visual display of multiple themes,and it provides data sharing services through a data application programming interface.