Matches in SemOpenAlex for { <https://semopenalex.org/work/W4200215904> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4200215904 endingPage "11756" @default.
- W4200215904 startingPage "11756" @default.
- W4200215904 abstract "Current state of the art authentication systems for mobile devices primarily rely on single point of entry authentication which imposes several flaws. For example, an attacker obtaining an unlocked device can potentially use and exploit it until the screen gets locked again. With continuous mobile user authentication, a system is embedded into the mobile devices, which continuously monitors biometric features of the person using the device, to validate if those monitored inputs match and therefore were made by the previously authenticated user. We start by giving an introduction towards the state of the art of currently used authentication systems and address related problems. For our main contribution we then propose, implement and discuss a continuous user authentication system for the Android ecosystem, which continuously monitors and records touch, accelerometer and timestamp data, and run experiments to gather data from multiple subjects. After feature extraction and normalization, a Hidden Markov Model is employed using an unsupervised learning approach as classifier and integrated into the Android application for further system evaluation and experimentation. The final model achieves an Area Under Curve of up to 100% while maintaining an Equal Error Rate of 1.34%. This is done by combining position and accelerometer data using gestures with at least 50 data points and averaging the prediction result of 25 consecutive gestures." @default.
- W4200215904 created "2021-12-31" @default.
- W4200215904 creator A5020648116 @default.
- W4200215904 creator A5033816218 @default.
- W4200215904 creator A5044911638 @default.
- W4200215904 date "2021-12-10" @default.
- W4200215904 modified "2023-09-27" @default.
- W4200215904 title "Continuous Mobile User Authentication Using Combined Biometric Traits" @default.
- W4200215904 cites W1991412763 @default.
- W4200215904 cites W2006605027 @default.
- W4200215904 cites W2105594594 @default.
- W4200215904 cites W2111303254 @default.
- W4200215904 cites W2129347810 @default.
- W4200215904 cites W2151854612 @default.
- W4200215904 cites W2216189124 @default.
- W4200215904 cites W2471556897 @default.
- W4200215904 cites W2613395272 @default.
- W4200215904 cites W2782847759 @default.
- W4200215904 cites W2898487301 @default.
- W4200215904 cites W3081559749 @default.
- W4200215904 doi "https://doi.org/10.3390/app112411756" @default.
- W4200215904 hasPublicationYear "2021" @default.
- W4200215904 type Work @default.
- W4200215904 citedByCount "1" @default.
- W4200215904 countsByYear W42002159042022 @default.
- W4200215904 crossrefType "journal-article" @default.
- W4200215904 hasAuthorship W4200215904A5020648116 @default.
- W4200215904 hasAuthorship W4200215904A5033816218 @default.
- W4200215904 hasAuthorship W4200215904A5044911638 @default.
- W4200215904 hasBestOaLocation W42002159041 @default.
- W4200215904 hasConcept C111919701 @default.
- W4200215904 hasConcept C113954288 @default.
- W4200215904 hasConcept C124101348 @default.
- W4200215904 hasConcept C136764020 @default.
- W4200215904 hasConcept C136886441 @default.
- W4200215904 hasConcept C144024400 @default.
- W4200215904 hasConcept C148417208 @default.
- W4200215904 hasConcept C154945302 @default.
- W4200215904 hasConcept C184297639 @default.
- W4200215904 hasConcept C186967261 @default.
- W4200215904 hasConcept C19165224 @default.
- W4200215904 hasConcept C207347870 @default.
- W4200215904 hasConcept C23224414 @default.
- W4200215904 hasConcept C38652104 @default.
- W4200215904 hasConcept C41008148 @default.
- W4200215904 hasConcept C557433098 @default.
- W4200215904 hasConcept C79403827 @default.
- W4200215904 hasConcept C89805583 @default.
- W4200215904 hasConcept C95623464 @default.
- W4200215904 hasConceptScore W4200215904C111919701 @default.
- W4200215904 hasConceptScore W4200215904C113954288 @default.
- W4200215904 hasConceptScore W4200215904C124101348 @default.
- W4200215904 hasConceptScore W4200215904C136764020 @default.
- W4200215904 hasConceptScore W4200215904C136886441 @default.
- W4200215904 hasConceptScore W4200215904C144024400 @default.
- W4200215904 hasConceptScore W4200215904C148417208 @default.
- W4200215904 hasConceptScore W4200215904C154945302 @default.
- W4200215904 hasConceptScore W4200215904C184297639 @default.
- W4200215904 hasConceptScore W4200215904C186967261 @default.
- W4200215904 hasConceptScore W4200215904C19165224 @default.
- W4200215904 hasConceptScore W4200215904C207347870 @default.
- W4200215904 hasConceptScore W4200215904C23224414 @default.
- W4200215904 hasConceptScore W4200215904C38652104 @default.
- W4200215904 hasConceptScore W4200215904C41008148 @default.
- W4200215904 hasConceptScore W4200215904C557433098 @default.
- W4200215904 hasConceptScore W4200215904C79403827 @default.
- W4200215904 hasConceptScore W4200215904C89805583 @default.
- W4200215904 hasConceptScore W4200215904C95623464 @default.
- W4200215904 hasIssue "24" @default.
- W4200215904 hasLocation W42002159041 @default.
- W4200215904 hasLocation W42002159042 @default.
- W4200215904 hasOpenAccess W4200215904 @default.
- W4200215904 hasPrimaryLocation W42002159041 @default.
- W4200215904 hasRelatedWork W1547097662 @default.
- W4200215904 hasRelatedWork W1996367218 @default.
- W4200215904 hasRelatedWork W2062273853 @default.
- W4200215904 hasRelatedWork W2086748050 @default.
- W4200215904 hasRelatedWork W2091252841 @default.
- W4200215904 hasRelatedWork W2094618611 @default.
- W4200215904 hasRelatedWork W2143813892 @default.
- W4200215904 hasRelatedWork W2162986499 @default.
- W4200215904 hasRelatedWork W2184652164 @default.
- W4200215904 hasRelatedWork W2592618130 @default.
- W4200215904 hasVolume "11" @default.
- W4200215904 isParatext "false" @default.
- W4200215904 isRetracted "false" @default.
- W4200215904 workType "article" @default.