Name
Abstract | ||
|---|---|---|
Smartphones 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 end-users 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. |
Year | Venue | DocType |
|---|---|---|
2017 | Proceedings of the Hardware and Architectural Support for Security and Privacy 2016 | Journal |
Volume | Citations | PageRank |
abs/1703.03523 | 6 | 0.47 |
References | Authors | |
18 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei-Han Lee | 1 | 45 | 6.54 |
| Ruby Lee | 2 | 2460 | 261.28 |