CloudBI: Practical privacy-preserving outsourcing of biometric identification in the cloud

Qian Wang, Shengshan Hu, Kui Ren, Meiqi He, Minxin Du, Zhibo Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

63 Citations (Scopus)

Abstract

Biometric identification has been incredibly useful in the law enforcement to authenticate an individual’s identity and/or to figure out who someone is, typically by scanning a database of records for a close enough match. In this work, we investigate the privacy-preserving biometric identification outsourcing problem, where the database owner outsources both the large-scale encrypted database and the computationally intensive identification job to the semi-honest cloud, relieving itself from data storage and computation burden. We present new privacy-preserving biometric identification protocols, which substantially reduce the computation burden on the database owner. Our protocols build on new biometric data encryption, distance-computation and matching algorithms that novelly exploit inherent structures of biometric data and properties of identification operations. A thorough security analysis shows that our solutions are practically-secure, and the ultimate solution offers a higher level of privacy protection than the-state-of-the-art on biometric identification outsourcing. We evaluate our protocols by implementing an efficient privacy-preserving fingerprint-identification system, showing that our protocols meet both the security and efficiency needs well, and they are appropriate for use in various privacy-preserving biometric identification applications.

Original languageEnglish
Title of host publicationComputer Security – ESORICS 2015 - 20th European Symposium on Research in Computer Security, Proceedings
EditorsGünther Pernul, Peter Y.A. Ryan, Edgar Weippl
PublisherSpringer Verlag
Pages186-205
Number of pages20
ISBN (Print)9783319241760
DOIs
Publication statusPublished - Sept 2015
Event20th European Symposium on Research in Computer Security, ESORICS 2015 - Vienna, Austria
Duration: 21 Sept 201525 Sept 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9327
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th European Symposium on Research in Computer Security, ESORICS 2015
Country/TerritoryAustria
CityVienna
Period21/09/1525/09/15

Keywords

  • Biometric identification
  • Cloud computing
  • Data outsourcing
  • Privacy

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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