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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
POSTS&TELECOM PRESS Co., LTD
2016-04-01
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| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2016.00043 |
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| 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. |
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| ISSN: | 2096-109X |