Privacy-preserving distributed speech enhancement forwireless sensor networks by processing in the encrypted domain

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

11 Citations (Scopus)

Abstract

To improve speech communication in noisy and reverberant environments, an increased interest is shown to develop algorithms that make efficiently use of acoustic wireless sensor networks (WSNs). The processors and sensors forming these WSNs can be owned by multiple users. Sending private data across such a WSN can lead to severe privacy and security issues and may limit its acceptance. Using the advantages of WSNs, while guaranteeing people's privacy, requires therefore to share processors and data in a privacy preserving manner. In this paper we raise attention to the problem of privacy and security for distributed speech enhancement and propose the new paradigm of privacy preserving distributed beamforming. Using cryptographic techniques, particularly homomorphic encryption, we demonstrate how distributed beamforming techniques can be computed in a privacy preserving manner in the encrypted domain.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages7005-7009
Number of pages5
DOIs
Publication statusPublished - 2013
Event2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
Duration: 26 May 201331 May 2013

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
CountryCanada
CityVancouver, BC
Period26/05/1331/05/13

Keywords

  • distributed algorithms
  • encryption
  • speech enhancement
  • wireless sensor networks

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