SPN2: Single-Sided Privacy Preserving Nearest Neighbor and its Application to Face Recognition

Aouada, Djamila; Khader, Dalia

Reference : SPN2: Single-Sided Privacy Preserving Nearest Neighbor and its Application to Face Re...


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/17041

Title :	SPN2: Single-Sided Privacy Preserving Nearest Neighbor and its Application to Face Recognition
Language :	English
Author, co-author :	Aouada, Djamila [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Khader, Dalia [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	2014
Main document title :	11th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS'14)
Peer reviewed :	Yes
Audience :	International
Event name :	11th IEEE International Conference on Advanced Video and Signal-based Surveillance
Event date :	from 26-08-2014 to 29-08-2014
Abstract :	[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.
Research centres :	Interdisciplinary Centre for Security, reliability and Trust
Funders :	Fonds National de la Recherche - FnR
Name of the research project :	I2R-DIR-PFN-11FAVE > C11/IS/1204105 : FAVE > 01/01/2012 - 31/12/2014 > OTTERSTEN Björn
Permalink :	http://hdl.handle.net/10993/17041

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