网络与信息安全学报2016，Vol.2Issue(4)：73-79,7.DOI:10.11959/j.issn.2096-109x.2016.00043
多维度iOS隐私泄露评估模型研究
Research on multi-dimensional iOS privacy disclosure evaluation model
摘要
Abstract
The existing iOS platform is lacking ofsystematic assessment methods of privacy leak detection. To solve this problem, a multi-dimensional iOSprivacy disclosure evaluation model was presented. This model combined static analysis, dynamic analysis and network data analysis method to extract the features of the application’s pri-vacy disclosure behavior and evaluate it form multiple dimensions way. The model on 30 different types of apps from the iOS App Store and found out that more than 50% of all investigated apps aretracking users’ locations were evaluated, almost 40% of all send data to a server without the user’s consent. The model makes up for the limitations of single static analysis or dynamic analysis methods, solves the quantization problem of privacy disclosure effectively.关键词
iOS/隐私泄露/静态分析/动态分析/网络数据分析Key words
iOS/privacy disclosure/static analysis/dynamic analysis/network data analysis分类
电子信息工程引用本文复制引用
邢月秀,胡爱群,王永剑,赵然..多维度iOS隐私泄露评估模型研究[J].网络与信息安全学报,2016,2(4):73-79,7.基金项目
国家重点基础研究发展计划（“973”计划）基金资助项目（No.2013CB338003）Foundation Item：The National Basic Research Program of China (973 Program)(No.2013CB338003) （973 Program）
