User authentication method using shaking actions in mobile devices

Citations

SCOPUS

3

초록

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%.

키워드

Behavior patternBiometric authenticationMobile securityUser authenticationBiometricsMobile devicesMobile securityAcceleration dataBehavior patternsBiometric authenticationBiometric informationsClassification accuracyClassification algorithmPreprocessing phaseUser authenticationAuthentication
제목
User authentication method using shaking actions in mobile devices
저자
Lee, Tae KyongKim, Tae GuenIm, Eul Gyu
DOI
10.1145/2987386.2987411
발행일
2016-10
유형
Conference Paper
저널명
Proceedings of the 2016 Research in Adaptive and Convergent Systems, RACS 2016
페이지
142 ~ 147