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2018 | OriginalPaper | Buchkapitel

Secure Device Pairing via Facial Image Similarity

verfasst von : Zhiping Jiang, Rui Li, Kun Zhao, Shuaiyu Chen

Erschienen in: Cloud Computing and Security

Verlag: Springer International Publishing

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Abstract

In this paper, we propose a secure key pairing system, FaceMatch, to enable confidential communication for smartphones. The idea is to leverage a natural human interaction mode: face-to-face interaction. Two users raise up their smartphones to establish a secure channel based on their similar observations via the smartphones’ cameras. One user acts as the initiator and uses the front-facing camera to snap his/her face. The other user captures the initiator’s face using his/her rear camera. Utilizing the facial appearance as a secret substitution, the initiator delivers a randomly generated key to the other user. Based on this key, two users establish a confidential communication channel between their devices. FaceMatch achieves secure device pairing without the complex operations needed in prior works. We implemented FaceMatch using off-the-shelf iPhones. The experimental results show that FaceMatch can establish a 128-bit encrypted connection in less than 3 s.

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Titel: Secure Device Pairing via Facial Image Similarity
verfasst von: Zhiping Jiang
Rui Li
Kun Zhao
Shuaiyu Chen
Verlag: Springer International Publishing
Buch: Cloud Computing and Security
Print ISBN: 978-3-030-00020-2

Electronic ISBN: 978-3-030-00021-9

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-030-00021-9_2

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