Robust smartphone app identification via encrypted network traffic analysis
The apps installed on a smartphone can reveal much information about a user, such as their medical conditions, sexual orientation, or religious beliefs. In addition, the presence or absence of particular apps on a smartphone can inform an adversary, who is intent on attacking the device. In this pap...
Main Authors: | Taylor, V, Spolaor, R, Conti, M, Martinovic, I |
---|---|
Format: | Journal article |
Published: |
Institute of Electrical and Electronics Engineers
2017
|
Similar Items
-
Robust smartphone app identification via encrypted network traffic analysis
by: Taylor, V, et al.
Published: (2017) -
Mobile app identification for encrypted network flows by traffic correlation
by: Gaofeng He, et al.
Published: (2018-12-01) -
Automatic Mobile App Identification From Encrypted Traffic With Hybrid Neural Networks
by: Xin Wang, et al.
Published: (2020-01-01) -
A robust encrypted traffic identification scheme based on graph neural network
by: LI Mengxiang, et al.
Published: (2024-06-01) -
A robust encrypted traffic identification scheme based on graph neural network
by: LI Mengxiang, et al.
Published: (2024-06-01)