Research on multi-dimensional iOS privacy disclosure evaluation model

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...

Full description

Saved in:
Bibliographic Details
Published in网络与信息安全学报 Vol. 2; no. 4; pp. 73 - 79
Main Authors Yue-xiu XING,Ai-qun HU,Ran ZHAO, Yong-jian WANG
Format Journal Article
LanguageEnglish
Published POSTS&TELECOM PRESS Co., LTD 01.04.2016
Subjects
dynamic analysis
ios
network data analysis
privacy disclosure
static analysis
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:2096-109X
DOI:10.11959/j.issn.2096-109x.2016.00043