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- W4245023511 abstract "In Internet of Things (IoT) applications, among various authentication techniques, keystroke authentication methods based on a user’s touch behavior have received increasing attention, due to their unique benefits. In this paper, we present a technique for obtaining high user authentication accuracy by utilizing a user’s touch time and force information, which are obtained from an assembled piezoelectric touch panel. After combining artificial neural networks with the user’s touch features, an equal error rate (EER) of 1.09% is achieved, and hence advancing the development of security techniques in the field of IoT." @default.
- W4245023511 created "2022-05-12" @default.
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- W4245023511 date "2020-03-17" @default.
- W4245023511 modified "2023-09-28" @default.
- W4245023511 title "A User Authentication Enabled Piezoelectric Force Touch System for the Internet of Things" @default.
- W4245023511 doi "https://doi.org/10.36227/techrxiv.11988369.v1" @default.
- W4245023511 hasPublicationYear "2020" @default.
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