Matches in SemOpenAlex for { <https://semopenalex.org/work/W87400274> ?p ?o ?g. }
- W87400274 endingPage "111" @default.
- W87400274 startingPage "92" @default.
- W87400274 abstract "Mobile devices have become an important part of our everyday life, harvesting more and more confidential user information. Their portable nature and the great exposure to security attacks, however, call out for stronger authentication mechanisms than simple password-based identification. Biometric authentication techniques have shown potential in this context. Unfortunately, prior approaches are either excessively prone to forgery or have too low accuracy to foster widespread adoption. In this paper, we propose sensor-enhanced keystroke dynamics, a new biometric mechanism to authenticate users typing on mobile devices. The key idea is to characterize the typing behavior of the user via unique sensor features and rely on standard machine learning techniques to perform user authentication. To demonstrate the effectiveness of our approach, we implemented an Android prototype system termed Unagi. Our implementation supports several feature extraction and detection algorithms for evaluation and comparison purposes. Experimental results demonstrate that sensor-enhanced keystroke dynamics can improve the accuracy of recent gestured-based authentication mechanisms (i.e., EER>0.5%) by one order of magnitude, and the accuracy of traditional keystroke dynamics (i.e., EER>7%) by two orders of magnitude." @default.
- W87400274 created "2016-06-24" @default.
- W87400274 creator A5029566823 @default.
- W87400274 creator A5062849376 @default.
- W87400274 creator A5063847107 @default.
- W87400274 creator A5083941826 @default.
- W87400274 date "2014-01-01" @default.
- W87400274 modified "2023-09-23" @default.
- W87400274 title "I Sensed It Was You: Authenticating Mobile Users with Sensor-Enhanced Keystroke Dynamics" @default.
- W87400274 cites W1432560774 @default.
- W87400274 cites W1482388496 @default.
- W87400274 cites W1533974647 @default.
- W87400274 cites W1544205594 @default.
- W87400274 cites W185485033 @default.
- W87400274 cites W1964160137 @default.
- W87400274 cites W1969074557 @default.
- W87400274 cites W1976081290 @default.
- W87400274 cites W1981157808 @default.
- W87400274 cites W1982384931 @default.
- W87400274 cites W1985269311 @default.
- W87400274 cites W2004960087 @default.
- W87400274 cites W2008028437 @default.
- W87400274 cites W2036050276 @default.
- W87400274 cites W2037460944 @default.
- W87400274 cites W2055389916 @default.
- W87400274 cites W2062159697 @default.
- W87400274 cites W2063044356 @default.
- W87400274 cites W2065632249 @default.
- W87400274 cites W2074367177 @default.
- W87400274 cites W2076804129 @default.
- W87400274 cites W2083358597 @default.
- W87400274 cites W2084748102 @default.
- W87400274 cites W2086620637 @default.
- W87400274 cites W2090465075 @default.
- W87400274 cites W2095192593 @default.
- W87400274 cites W2098880846 @default.
- W87400274 cites W2099468260 @default.
- W87400274 cites W2107589078 @default.
- W87400274 cites W2107816859 @default.
- W87400274 cites W2108525321 @default.
- W87400274 cites W2120218993 @default.
- W87400274 cites W2126871739 @default.
- W87400274 cites W2129347810 @default.
- W87400274 cites W2135032965 @default.
- W87400274 cites W2149731351 @default.
- W87400274 cites W2151854612 @default.
- W87400274 cites W2154123601 @default.
- W87400274 cites W2164675859 @default.
- W87400274 cites W2170979474 @default.
- W87400274 cites W2325113181 @default.
- W87400274 cites W2540301992 @default.
- W87400274 cites W2546299758 @default.
- W87400274 cites W4234767541 @default.
- W87400274 cites W4236953379 @default.
- W87400274 cites W71453884 @default.
- W87400274 doi "https://doi.org/10.1007/978-3-319-08509-8_6" @default.
- W87400274 hasPublicationYear "2014" @default.
- W87400274 type Work @default.
- W87400274 sameAs 87400274 @default.
- W87400274 citedByCount "60" @default.
- W87400274 countsByYear W874002742014 @default.
- W87400274 countsByYear W874002742015 @default.
- W87400274 countsByYear W874002742016 @default.
- W87400274 countsByYear W874002742017 @default.
- W87400274 countsByYear W874002742018 @default.
- W87400274 countsByYear W874002742019 @default.
- W87400274 countsByYear W874002742020 @default.
- W87400274 countsByYear W874002742021 @default.
- W87400274 countsByYear W874002742022 @default.
- W87400274 crossrefType "book-chapter" @default.
- W87400274 hasAuthorship W87400274A5029566823 @default.
- W87400274 hasAuthorship W87400274A5062849376 @default.
- W87400274 hasAuthorship W87400274A5063847107 @default.
- W87400274 hasAuthorship W87400274A5083941826 @default.
- W87400274 hasBestOaLocation W874002742 @default.
- W87400274 hasConcept C107457646 @default.
- W87400274 hasConcept C109297577 @default.
- W87400274 hasConcept C111919701 @default.
- W87400274 hasConcept C136764020 @default.
- W87400274 hasConcept C148417208 @default.
- W87400274 hasConcept C154945302 @default.
- W87400274 hasConcept C161615301 @default.
- W87400274 hasConcept C184297639 @default.
- W87400274 hasConcept C186967261 @default.
- W87400274 hasConcept C38652104 @default.
- W87400274 hasConcept C41008148 @default.
- W87400274 hasConcept C4957475 @default.
- W87400274 hasConcept C557433098 @default.
- W87400274 hasConcept C79540074 @default.
- W87400274 hasConceptScore W87400274C107457646 @default.
- W87400274 hasConceptScore W87400274C109297577 @default.
- W87400274 hasConceptScore W87400274C111919701 @default.
- W87400274 hasConceptScore W87400274C136764020 @default.
- W87400274 hasConceptScore W87400274C148417208 @default.
- W87400274 hasConceptScore W87400274C154945302 @default.
- W87400274 hasConceptScore W87400274C161615301 @default.
- W87400274 hasConceptScore W87400274C184297639 @default.
- W87400274 hasConceptScore W87400274C186967261 @default.