Journal
2016 IEEE SYMPOSIUM ON SECURITY AND PRIVACY WORKSHOPS (SPW 2016)
Volume -, Issue -, Pages 241-244Publisher
IEEE
DOI: 10.1109/SPW.2016.17
Keywords
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Funding
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1624149] Funding Source: National Science Foundation
- Division Of Graduate Education
- Direct For Education and Human Resources [1619841] Funding Source: National Science Foundation
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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.
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