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Leveraging Battery Usage from Mobile Devices for Active Authentication
Joint Authors
Spooren, Jan
Preuveneers, Davy
Joosen, Wouter
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-12
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Telecommunications Engineering
Abstract EN
Active authentication is the practice of continuously verifying the identity of users, based on their context, interactions with a system, and information provided by that system.
In this paper, we investigate if battery charge readings from mobile devices can be used as an extra factor to improve active authentication.
We make use of a large data set of battery charge readings from real users and construct two computationally inexpensive machine learning classifiers to predict if a user session is authentic: the first one only based on the battery charge at a certain time of day; the second one predicts the authenticity of the user session when a previous, recent battery charge reading is available.
Our research shows that a simple two-figure battery charge value can make a useful albeit minor contribution to active authentication.
American Psychological Association (APA)
Spooren, Jan& Preuveneers, Davy& Joosen, Wouter. 2017. Leveraging Battery Usage from Mobile Devices for Active Authentication. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1188923
Modern Language Association (MLA)
Spooren, Jan…[et al.]. Leveraging Battery Usage from Mobile Devices for Active Authentication. Mobile Information Systems No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1188923
American Medical Association (AMA)
Spooren, Jan& Preuveneers, Davy& Joosen, Wouter. Leveraging Battery Usage from Mobile Devices for Active Authentication. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1188923
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1188923