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User Authentication Method using Shaking Actions in Mobile Devices

Title
User Authentication Method using Shaking Actions in Mobile Devices
Author
임을규
Keywords
Mobile Security; User Authentication; Biometric Authentication; Behavior Pattern
Issue Date
2016-10
Publisher
ACM
Citation
RACS '16 Proceedings of the International Conference on Research in Adaptive and Convergent Systems, Page. 142-147
Abstract
In order to use mobile devices safely, many researchers have worked on topics related to mobile security like user authentication. This paper proposes a user authentication method using users' biometric information. The propose system uses the device movement data that are obtained when a user shakes his or her mobile device. To capture the biometric information (shaking actions), acceleration data and rotation angle values of a mobile device are measured by the proposed system, and noises are removed in the preprocessing phase. After the preprocessing phase, the system extracts features and classifies the users based on these features. We had experiments to measure the classification accuracies of our method. Thirty people participated in the experiments, and six kinds of classification algorithms were used. As a result, the average of accuracies of the six classification algorithms was 97.87%.
URI
https://dl.acm.org/citation.cfm?doid=2987386.2987411https://repository.hanyang.ac.kr/handle/20.500.11754/98916
ISBN
978-1-4503-4455-5
DOI
10.1145/2987386.2987411
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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