Stealing PINs via mobile sensors: actual risk versus user perception

In this paper, we present the actual risks of stealing user PINs by using mobile sensors versus the perceived risks by users. First, we propose PINlogger.js which is a JavaScript-based side channel attack revealing user PINs on an Android mobile phone. In this attack, once the user visits a website...

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Bibliographic Details
Published in:	International journal of information security Vol. 17; no. 3; pp. 291 - 313
Main Authors:	Mehrnezhad, Maryam, Toreini, Ehsan, Shahandashti, Siamak F., Hao, Feng
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2018 Springer Nature B.V
Subjects:	Artificial neural networks Cell phones Cellular telephones Coding and Information Theory Communications Engineering Computer Communication Networks Computer Science Cryptology Cybersecurity Electronic devices Familiarity Interviews JavaScript Management of Computing and Information Systems Mobile phones Networks Neural networks Operating Systems Perceptions Permission Regular Contribution Risk Risk perception Sensors Smartphones Streams Telephones Theft Threats Websites User privacy Mobile sensors JavaScript attack Machine learning User study User security Risk perception PINs Mobile browsers
ISSN:	1615-5262, 1615-5270, 1615-5270
Online Access:	Get full text
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