Reference : SPN2: Single-Sided Privacy Preserving Nearest Neighbor and its Application to Face Re...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/17041
SPN2: Single-Sided Privacy Preserving Nearest Neighbor and its Application to Face Recognition
English
Aouada, Djamila mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Khader, Dalia mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
2014
11th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS'14)
Yes
International
11th IEEE International Conference on Advanced Video and Signal-based Surveillance
from 26-08-2014 to 29-08-2014
[en] We address the privacy concerns that raise when running a nearest neighbor (NN) search on confidential data in a surveillance system composed of a client and a server.
The proposed privacy preserving NN search uses Boneh-Goh-Nissim encryption to hide both the query data captured by the client and the database records stored in the server.
As opposed to state–of–the–art approaches which rely on a large number of interactions, this encryption enables the client to fully outsource the NN computation to the server;
hence, ensuring a single-sided private computation, and resulting in a one–round protocol between the server and the client. We analyze the practical feasibility of this algorithm
on a face recognition problem. We formally prove and experimentally show that the resulting system maintains the recognition rate while fully preserving the privacy of both
the database and the acquired faces.
Interdisciplinary Centre for Security, reliability and Trust
Fonds National de la Recherche - FnR
http://hdl.handle.net/10993/17041

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