现代信息科技2024，Vol.8Issue(18)：94-98,5.DOI:10.19850/j.cnki.2096-4706.2024.18.019
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
吴怡 1宋恺 1桑明臣 1刘陶 1王宇晓1
作者信息
- 1. 中国信息通信研究院,北京 100191||移动应用创新与治理技术工业和信息化部重点实验室,北京 100191
- 折叠
摘要
Abstract
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.关键词
移动应用/个人信息保护/检测平台/态势感知Key words
mobile application/personal information protection/detection platform/situation awareness分类
信息技术与安全科学引用本文复制引用
吴怡,宋恺,桑明臣,刘陶,王宇晓..基于Hadoop的移动应用大数据检测平台设计与实现[J].现代信息科技,2024,8(18):94-98,5.
