Deepauth: in-situ authentication for smartwatches via deeply learned behavioural biometrics
This paper proposes DeepAuth, an in-situ authentication framework that leverages the unique motion patterns when users entering passwords as behavioural biometrics. It uses a deep recurrent neural network to capture the subtle motion signatures during password input, and employs a novel loss functio...
| Main Authors: | , , , , , , |
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| Format: | Conference item |
| Published: |
ACM Digital Library
2018
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