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Open AccessArticle

Threats of Password Pattern Leakage Using Smartwatch Motion Recognition Sensors

Computer Engineering, Yeungnam University, Gyeongsan, Gyeongbuk 38541, Korea
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Academic Editor: Laurence T. Yang
Symmetry 2017, 9(7), 101; https://doi.org/10.3390/sym9070101
Received: 3 March 2017 / Revised: 9 June 2017 / Accepted: 26 June 2017 / Published: 30 June 2017
(This article belongs to the Special Issue Symmetry in Secure Cyber World)
Thanks to the development of Internet of Things (IoT) technologies, wearable markets have been growing rapidly. Smartwatches can be said to be the most representative product in wearable markets, and involve various hardware technologies in order to overcome the limitations of small hardware. Motion recognition sensors are a representative example of those hardware technologies. However, smartwatches and motion recognition sensors that can be worn by users may pose security threats of password pattern leakage. In the present paper, passwords are inferred through experiments to obtain password patterns inputted by users using motion recognition sensors, and verification of the results and the accuracy of the results is shown. View Full-Text
Keywords: side-channel attack; smartwatch; motion sensor; keystroke side-channel attack; smartwatch; motion sensor; keystroke
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MDPI and ACS Style

Kim, J.; Youn, J.M. Threats of Password Pattern Leakage Using Smartwatch Motion Recognition Sensors. Symmetry 2017, 9, 101.

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