@inproceedings{a2554ae7ab524692b822648f427b4bfa,
title = "Analyzing HtTPS encrypted traffic to identify user's operating system, browser and application",
abstract = "Desktops and laptops can be maliciously exploited to violate privacy. There are two main types of attack scenarios: active and passive. In this paper, we consider the passive scenario where the adversary does not interact actively with the device, but he is able to eavesdrop on the network traffic of the device from the network side. Most of the internet traffic is encrypted and thus passive attacks are challenging. In this paper, we show that an external attacker can identify the operating system, browser and application of HTTP encrypted traffic (HTTPS). To the best of our knowledge, this is the first work that shows this. We provide a large data set of more than 20000 examples for this task. Additionally, we suggest new features for this task. We run a through a set of experiments, which shows that our classification accuracy is 96.06\%.",
keywords = "Application, Browser, Encrypted traffic, HTTPS, Operating system",
author = "Jonathan Muehlstein and Yehonatan Zion and Maor Bahumi and Itay Kirshenboim and Ran Dubin and Amit Dvir and Ofir Pele",
note = "Publisher Copyright: {\textcopyright} 2019 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.; 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017 ; Conference date: 08-01-2017 Through 11-01-2017",
year = "2017",
month = jul,
day = "17",
doi = "10.1109/CCNC.2017.8013420",
language = "الإنجليزيّة",
series = "2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017",
address = "الولايات المتّحدة",
}