摘要
近年来,手机App背后的使用权限和隐私泄露问题颇受社会各界关注。本文采用文本挖掘技术对App权限索取问题进行了探讨,侧重运用自适应提升等机器学习方法,对各类App权限索取风险进行了综合评估,并提出了有效改进的具体策略。
In recent years,the issue of usage rights and privacy leakage behind mobile apps has attracted much attention from all walks of life.This article uses text mining technology to discuss the issue of App permission request,focusing on the use of machine learning methods such as adaptive promotion,comprehensively assessing the risk of various App permission requesting,and putting forward specific strategies for effective improvement.
作者
陈雄强
罗锦艺
孙心仪
许典燕
Chen Xiongqiang;Luo Jinyi;Sun Xinyi;Xu Dianyan(Zhejiang University of Finance and Economics,Hangzhou 310018)
出处
《中阿科技论坛（中英文）》
2021年第2期111-113,共3页
China-Arab States Science and Technology Forum
关键词
App权限
个人隐私保护
随机森林模型
秩和比法
结构方程模型
App authorization request
Personal privacy protection
Random forest model
Rank sum ratio method
Structural equation model
