NDLI: Event-Driven Implicit Authentication for Mobile Access Control

Content Provider	IEEE Xplore Digital Library
Author	Feng Yao Yerima, S.Y. BooJoong Kang Sezer, S.
Copyright Year	2015
Description	Author affiliation: Centre for Secure Inf. Technol., Queen's Univ. Belfast, Belfast, UK (Feng Yao; Yerima, S.Y.; BooJoong Kang; Sezer, S.)
Abstract	In order to protect user privacy on mobile devices, an event-driven implicit authentication scheme is proposed in this paper. Several methods of utilizing the scheme for recognizing legitimate user behavior are investigated. The investigated methods compute an aggregate score and a threshold in real-time to determine the trust level of the current user using real data derived from user interaction with the device. The proposed scheme is designed to: operate completely in the background, require minimal training period, enable high user recognition rate for implicit authentication, and prompt detection of abnormal activity that can be used to trigger explicitly authenticated access control. In this paper, we investigate threshold computation through standard deviation and EWMA (exponentially weighted moving average) based algorithms. The result of extensive experiments on user data collected over a period of several weeks from an Android phone indicates that our proposed approach is feasible and effective for lightweight real-time implicit authentication on mobile smartphones.
Starting Page	248
Ending Page	255
File Size	898935
Page Count	8
File Format	PDF
ISBN	9781479986606
DOI	10.1109/NGMAST.2015.47
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-09
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Training implict authentication Aggregates mobile access control Authentication Mobile handsets Browsers History behavior-based authentication
Content Type	Text
Resource Type	Article

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