Report
WACA: Wearable-Assisted Continuous Authentication
| العنوان: | WACA: Wearable-Assisted Continuous Authentication |
|---|---|
| المؤلفون: | Acar, Abbas, Aksu, Hidayet, Uluagac, A. Selcuk, Akkaya, Kemal |
| سنة النشر: | 2018 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Cryptography and Security |
| الوصف: | One-time login process in conventional authentication systems does not guarantee that the identified user is the actual user throughout the session. However, it is necessary to re-verify the user identity periodically throughout a login session without reducing the user convenience. Continuous authentication can address this issue. However, existing methods are either not reliable or not usable. In this paper, we introduce a usable and reliable method called Wearable Assisted Continuous Authentication (WACA). WACA relies on the sensor based keystroke dynamics, where the authentication data is acquired through the built in sensors of a wearable (e.g., smartwatch) while the user is typing. We implemented the WACA framework and evaluated its performance on real devices with real users. The empirical evaluation of WACA reveals that WACA is feasible and its error rate is as low as 1 percent with 30 seconds of processing time and 2 3% for 20 seconds. The computational overhead is minimal. Furthermore, we tested WACA against different attack scenarios. WACA is capable of identifying insider threats with very high accuracy (99.2%) and also robust against powerful adversaries such as imitation and statistical attackers. Comment: A shorter version of this paper will appear in BioSTAR 2018 Workshop. This is the full version of the paper. 1st update: added ACK section |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/1802.10417 |
| رقم الانضمام: | edsarx.1802.10417 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |