Title
Sensor-Based Mobile Web Fingerprinting and Cross-Site Input Inference Attacks
Abstract
Smartphone motion sensor data are not only accessible to native mobile apps, but have also become accessible to the webpages rendered in either mobile browsers or the WebView components of mobile apps. In this position paper, we highlight four types of broad and severe user fingerprinting and cross-site input inference attacks that can exploit the smartphone motion sensor data to compromise mobile web users' privacy and security, we also discuss some research topics for further investigating the effectiveness of these attacks and designing usable defense mechanisms.
Year
DOI
Venue
2016
10.1109/SPW.2016.17
2016 IEEE Security and Privacy Workshops (SPW)
Keywords
Field
DocType
Smartphone,Motion Sensor,Web,User Fingerprinting,Cross-site Input Inference,Attacks
Mobile computing,Mobile search,Internet privacy,World Wide Web,Web page,Inference,Computer security,Computer science,Exploit,Mobile Web,Information privacy,Mobile telephony
Conference
ISBN
Citations 
PageRank 
978-1-5090-3691-2
1
0.41
References 
Authors
17
1
Name
Order
Citations
PageRank
Chuan Yue122524.00