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In-app activity recognition from Wi-Fi encrypted traffic
In today’s world mobile applications have been widely used, which bring great convenience to people’s lives. However, at the same time user privacy is potentially threatened. This paper shows that a passive eavesdropper can identify fine grained user activities (known as in-app activities) by analys...
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| Main Authors: | , , , |
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| Format: | Default Conference proceeding |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/11366099.v1 |
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