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...
Главные авторы: | Taylor, V, Spolaor, R, Conti, M, Martinovic, I |
---|---|
Формат: | Journal article |
Опубликовано: |
Institute of Electrical and Electronics Engineers
2017
|
Схожие документы
-
Robust smartphone app identification via encrypted network traffic analysis
по: Taylor, V, и др.
Опубликовано: (2017) -
Mobile app identification for encrypted network flows by traffic correlation
по: Gaofeng He, и др.
Опубликовано: (2018-12-01) -
Automatic Mobile App Identification From Encrypted Traffic With Hybrid Neural Networks
по: Xin Wang, и др.
Опубликовано: (2020-01-01) -
A robust encrypted traffic identification scheme based on graph neural network
по: LI Mengxiang, и др.
Опубликовано: (2024-06-01) -
A robust encrypted traffic identification scheme based on graph neural network
по: LI Mengxiang, и др.
Опубликовано: (2024-06-01)