Providing Privacy Protection and Personalization Awareness for Android Devices
With an increasing number of applications appearing, smartphones with powerful processors and a variety of sensors are ideal mobile devices at hand. On one hand, various applications which are able to provide personalization functions that provide the service of interest to users rely on gathering a...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-07-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/155014774645256 |
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| _version_ | 1850209819613462528 |
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| author | Hongliang Liang Dongyang Wu Shirun Liu Hao Dai Haifeng Liu |
| author_facet | Hongliang Liang Dongyang Wu Shirun Liu Hao Dai Haifeng Liu |
| author_sort | Hongliang Liang |
| collection | DOAJ |
| description | With an increasing number of applications appearing, smartphones with powerful processors and a variety of sensors are ideal mobile devices at hand. On one hand, various applications which are able to provide personalization functions that provide the service of interest to users rely on gathering and analyzing the sensor data and other sensitive information. On the other hand, attackers can accurately classify activities of mobile users from these data. As a result, the risk of users compromising their privacy has risen exponentially. Mobile users currently cannot control how various applications handle the privacy of their sensor data. To address the issue, we present P3Android whose architecture can support applications' personalization functions in Android according to users' personae and use the concept of profile to prevent sensitive information from unauthorized access. Furthermore, we provide a privacy protection service for legacy apps. which can enforce different protection policies according to the risk level of apps. All of these cooperate to provide both personalization awareness and privacy protection in Android. Experiments show that P3Android is feasible and effective. |
| format | Article |
| id | doaj-art-92cb1f6fe02c41f88a1e0bfa4c681901 |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2016-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-92cb1f6fe02c41f88a1e0bfa4c6819012025-08-20T02:09:55ZengWileyInternational Journal of Distributed Sensor Networks1550-14772016-07-011210.1177/155014774645256Providing Privacy Protection and Personalization Awareness for Android DevicesHongliang Liang0Dongyang Wu1Shirun Liu2Hao Dai3Haifeng Liu4 School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China Beijing Information Security Test and Evaluation Center, Beijing 100101, ChinaWith an increasing number of applications appearing, smartphones with powerful processors and a variety of sensors are ideal mobile devices at hand. On one hand, various applications which are able to provide personalization functions that provide the service of interest to users rely on gathering and analyzing the sensor data and other sensitive information. On the other hand, attackers can accurately classify activities of mobile users from these data. As a result, the risk of users compromising their privacy has risen exponentially. Mobile users currently cannot control how various applications handle the privacy of their sensor data. To address the issue, we present P3Android whose architecture can support applications' personalization functions in Android according to users' personae and use the concept of profile to prevent sensitive information from unauthorized access. Furthermore, we provide a privacy protection service for legacy apps. which can enforce different protection policies according to the risk level of apps. All of these cooperate to provide both personalization awareness and privacy protection in Android. Experiments show that P3Android is feasible and effective.https://doi.org/10.1177/155014774645256 |
| spellingShingle | Hongliang Liang Dongyang Wu Shirun Liu Hao Dai Haifeng Liu Providing Privacy Protection and Personalization Awareness for Android Devices International Journal of Distributed Sensor Networks |
| title | Providing Privacy Protection and Personalization Awareness for Android Devices |
| title_full | Providing Privacy Protection and Personalization Awareness for Android Devices |
| title_fullStr | Providing Privacy Protection and Personalization Awareness for Android Devices |
| title_full_unstemmed | Providing Privacy Protection and Personalization Awareness for Android Devices |
| title_short | Providing Privacy Protection and Personalization Awareness for Android Devices |
| title_sort | providing privacy protection and personalization awareness for android devices |
| url | https://doi.org/10.1177/155014774645256 |
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