Unobservable Re-authentication for Smartphones
Author(s): Lingjun Li, Xinxin Zhao, Guoliang Xue

Date: April 2013
Publication: Proceedings of the 20th Annual Network & Distributed System Security Symposium, NDSS 2013
Publisher: Internet Society
Source 1: http://www.internetsociety.org/sites/default/files/02_1_0.pdf
Source 2: http://www.public.asu.edu/~lingjunl/papers/NDSS2013-Li.pdf

Abstract or Summary:
The widespread usage of smartphones gives rise to new security and privacy concerns. Smartphones are becoming a personal entrance to networks, and may store private information. Due to its small size, a smartphone could be easily taken away and used by an attacker. Using a victim’s smartphone, the attacker can launch an impersonation attack, which threatens the security of current networks, especially online social networks. Therefore, it is necessary to design a mechanism for smartphones to re-authenticate the current user’s identity and alert the owner when necessary. Such a mechanism can help to inhibit smartphone theft and safeguard the information stored in smartphones. In this paper, we propose a novel biometric-based system to achieve continuous and unobservable re-authentication for smartphones. The system uses a classifier to learn the owner’s finger movement patterns and checks the current user’s finger movement patterns against the owner’s. The system continuously re-authenticates the current user without interrupting user-smartphone interactions. Experiments show that our system is efficient on smartphones and achieves high accuracy.



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