2013
DOI: 10.1016/j.cose.2013.05.005
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A framework for continuous, transparent mobile device authentication

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Cited by 102 publications
(78 citation statements)
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“…Furthermore, voice can considered as physiological biometric. One advantages of behavioral biometrics are that they can be applied in a transparent and continuous authentication system [13,15].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Furthermore, voice can considered as physiological biometric. One advantages of behavioral biometrics are that they can be applied in a transparent and continuous authentication system [13,15].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Additionally, to improve its security, biometrics authentication can rely on multiple biometrics traits thus, being multi-modal. Finally, biometric data can be acquired transparently i.e., without explicitly notifying the user or requiring his/her interaction, aiming to improve service usability [5].…”
Section: Introductionmentioning
confidence: 99%
“…But the overarching drawback is that none of these modalities is continuously active. Multimodal systems are presently being designed to handle the bursty nature of mono-modal sensors and allow for an easily extensible system to fuse the input of such sensors [10,11,12]. However, replication and systemization of work in the field is hampered by the incredible diversity of modalities, features, classifiers, architectures, and test sets employed.…”
Section: List Of Tablesmentioning
confidence: 99%
“…The most similar multi-modal framework to the work proposed here is the Transparent Authentication Framework (TAF) in Java, which was proposed explicitly as an extensible framework for mobile devices [31]. The TAF uses multiple mono-modal biometric modules to render classification decisions on events and fuses their decisions with a history of explicit (entering a password) attempts.…”
Section: Multimodal-systemsmentioning
confidence: 99%
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