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Implicit sensor-based authentication of smartphone users with smartwatch

Author(s): Lee, W-H; Lee, Ruby

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dc.contributor.authorLee, W-H-
dc.contributor.authorLee, Ruby-
dc.identifier.citationLee, W-H, Lee, R. (2016). Implicit sensor-based authentication of smartphone users with smartwatch. 18-June-2016 (10.1145/2948618.2948627en_US
dc.description.abstractSmartphones are now frequently used by end-users as the portals to cloud-based services, and smartphones are easily stolen or co-opted by an attacker. Beyond the initial login mechanism, it is highly desirable to re-authenticate endusers who are continuing to access security-critical services and data, whether in the cloud or in the smartphone. But attackers who have gained access to a logged-in smartphone have no incentive to re-authenticate, so this must be done in an automatic, non-bypassable way. Hence, this paper proposes a novel authentication system, iAuth, for implicit, continuous authentication of the end-user based on his or her behavioral characteristics, by leveraging the sensors already ubiquitously built into smartphones. We design a system that gives accurate authentication using machine learning and sensor data from multiple mobile devices. Our system can achieve 92.1% authentication accuracy with negligible system overhead and less than 2% battery consumption.en_US
dc.relation.ispartof5th International Workshop on Hardware and Architectural Support for Security and Privacy,en_US
dc.rightsAuthor's manuscripten_US
dc.titleImplicit sensor-based authentication of smartphone users with smartwatchen_US
dc.typeConference Articleen_US

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