Abstract

User identity theft is a growing challenge for security of electronic systems. Traditional authentication techniques such as password and PIN code are more vulnerable to this problem. On the other hand, biometric authentication techniques are safer as compared to password identification for authentication purpose. Biometric techniques use certain characteristics of human to authenticate the legitimate user. This paper presents a biometric authentication mechanism using motion sensor of smart phone. The user has to perform signature by moving his phone, the motion pattern is detected using accelerometer of the smartphone. We have used the concepts of signal matching for identification mechanism. Results depict that legitimate user can be identified using a certain level of error threshold.

Keywords:
Password Computer science Biometrics Computer security Authentication (law) Identification (biology) Accelerometer Multi-factor authentication Mobile phone SAFER Phone Gimbal Authentication protocol Engineering Telecommunications

Metrics

31
Cited By
3.98
FWCI (Field Weighted Citation Impact)
8
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

User Authentication and Security Systems
Physical Sciences →  Computer Science →  Information Systems
Gait Recognition and Analysis
Physical Sciences →  Engineering →  Biomedical Engineering
Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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