@inproceedings{b991d93fed8c4597828f6034bcb9005e,
title = "Effective Mobile Web User Fingerprinting via Motion Sensors",
abstract = "Motion sensors are often equipped on smartphones to enable rich app functionality and interactivity. However, they can also be exploited by attackers as powerful side-channels to compromise users' security and privacy due to the unrestricted sensor data access on modern smartphone platforms. In this paper, we investigate motion sensor based user fingerprinting attacks that can be pervasively performed to severely compromise the privacy of mobile web users. We formulate our user fingerprinting attacks as a typical multi-class classification problem, and design a framework with unified classifiers for effectively performing the attacks. We implement our attacking framework and evaluate it using the motion sensor data collected from 20 volunteers. The evaluation results demonstrate that our attacks are indeed very effective. For example, the user fingerprinting accuracy is higher than 85% by using a classifier unified from seven randomly selected individual classifiers each trained with the motion sensor data of only 10 letter keystrokes.",
keywords = "Attacks, Fingerprinting, Motion Sensor, Smartphone, Web User",
author = "Zhiju Yang and Rui Zhao and Chuan Yue",
note = "Funding Information: This research was supported in part by the NSF grant DGE-1619841 and NSA grant H98230-17-1-0403. Publisher Copyright: {\textcopyright} 2018 IEEE.; 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018 ; Conference date: 31-07-2018 Through 03-08-2018",
year = "2018",
month = sep,
day = "5",
doi = "10.1109/TrustCom/BigDataSE.2018.00194",
language = "English (US)",
isbn = "9781538643877",
series = "Proceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1398--1405",
booktitle = "Proceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018",
}