Abstract
We demonstrate a personalized user authentication mechanism based on first-person-view videos. Our proposed algorithm forms temporary image-based authentication challenges which benefit a variety of purposes such as unlocking a mobile device or fallback authentication. First, representative frames are extracted from the egocentric videos. Then, they are split into distinguishable segments before repetitive scenes are discarded through a clustering procedure. We integrate eye tracking data to select informative sequences of video frames and suggest an alternative method based on image quality. For evaluation, we perform experiments in different settings including object-interaction activities and traveling contexts. We assessed the authentication scheme in the presence of an informed attacker and observed that the entry time is significantly higher than that of the legitimate user.
Original language | English |
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Title of host publication | 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017 |
Publisher | IEEE |
Pages | 76-78 |
Number of pages | 3 |
ISBN (Electronic) | 9781509043385 |
DOIs | |
Publication status | Published - 2 May 2017 |
MoE publication type | A4 Article in a conference publication |
Event | IEEE International Conference on Pervasive Computing and Communications Workshops - Kona, United States Duration: 13 Mar 2017 → 17 Mar 2017 |
Conference
Conference | IEEE International Conference on Pervasive Computing and Communications Workshops |
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Abbreviated title | PerCom Workshops |
Country/Territory | United States |
City | Kona |
Period | 13/03/2017 → 17/03/2017 |