Hide my Gaze with EOG! Towards Closed-Eye Gaze Gesture Passwords that Resist Observation-Attacks with Electrooculography in Smart Glasses

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu




Smart glasses allow for gaze gesture passwords as a hands-free form of mobile authentication. However, pupil movements for password input are easily observed by attackers, who thereby can derive the password. In this paper we investigate closed-eye gaze gesture passwords with EOG sensors in smart glasses. We propose an approach to detect and recognize closed-eye gaze gestures, together with a 7 and 9 character gaze gesture alphabet. Our evaluation indicates good gaze gesture detection rates. However, recognition is challenging specifically for vertical eye movements with 71.2%-86.5% accuracy and better results for opened than closed eyes. We further find that closed-eye gaze gesture passwords are difficult to attack from observations with 0% success rate in our evaluation, while attacks on open eye passwords succeed with 61%. This indicates that closed-eye gaze gesture passwords protect the authentication secret significantly better than their open eye counterparts.


Otsikko17th International Conference on Advances in Mobile Computing & Multimedia (MoMM2019)
TilaHyväksytty/In press - 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Conference on Advances in Mobile Computing and Multimedia - Munich, Saksa
Kesto: 2 joulukuuta 20194 joulukuuta 2019
Konferenssinumero: 17


ConferenceInternational Conference on Advances in Mobile Computing and Multimedia

ID: 37133254