상세정보
학술대회
A Study on Feature of Keystroke Dynamics for Improving Accuracy in Mobile Environment
- 발행일
- 201608
- 출처
- World Conference on Information Security Applications (WISA) 2016 (LNCS 10144), v.10144, pp.1-10
- 협약과제
- 16MH1500, 상황인지기반 멀티팩터 인증 및 전자서명을 제공하는 범용인증플랫폼기술 개발, 김수형
- 초록
- User behavior-based authentication, while providing convenience to the user, is not widely used in the real world due to its low accuracy. Keystroke dynamics is one of the user behavior-based authentication methods, and it has been studied for about 40 years. Conventional keystroke dynamics has used key timing features for the personal computer (PC) environment. Since the smartphone equipped with advanced sensors (e.g., accelerometer, gyroscope, and touchscreen sensor) was released, sensor-based features have been used to improve the accuracy of classifying users with key timing features. In this paper, we analyze the keystroke dynamics features in the literature and evaluate each feature to find efficient features. Based on tapping data collected from 12 participants, we evaluate the effectiveness of several features from the empirical data of a six-digit PIN. Our experimental results show that the feature Up-Up (UU), the time difference between releasing a key and the next key, and the min, max, and mean features extracted from motion sensor data have the best accuracy and efficiently classify each user.
- KSP 제안 키워드
- Authentication method, Data collected, Empirical data, Improving accuracy, Keystroke Dynamics, Motion sensor, Real-world, User behavior, behavior-based authentication, dynamics features, mobile environment