Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Privacy-Constrained Parallel Distributed Neyman-Pearson Test
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-2276-2079
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-0036-9049
2017 (English)In: IEEE Transactions on Signal and Information Processing over Networks, ISSN 2373-776X, Vol. 3, no 1, 77-90 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, the privacy leakage problem in an eavesdropped parallel distributed binary hypothesis test network is considered. A novel Neyman–Pearson test-operational privacy leakage measure is proposed and a privacy-constrained distributed Neyman–Pearson test problem is formulated. Such privacy-constrained distributed Neyman–Pearson test network is designed to optimize the Neyman–Pearson test performance and meanwhile to satisfy a desired suppression constraint on the privacy leakage. This study characterizes the privacy-constrained distributed Neyman–Pearson test network design and particularly identifies the sufficiency of deterministic likelihood-ratio test for optimality. These results help to simplify the optimal design problem of a privacy-constrained distributed Neyman–Pearson test network. Numerical results are presented to show the trade-off between the test performance and privacy leakage in privacy-constrained distributed Neyman–Pearson test networks.

Place, publisher, year, edition, pages
IEEE Press, 2017. Vol. 3, no 1, 77-90 p.
Keyword [en]
Cyber-physical system; eavesdropper; likelihood-ratio test; person-by-person optimality; physical-layer secrecy
National Category
Signal Processing Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-192963DOI: 10.1109/TSIPN.2016.2623092ISI: 000395668800006OAI: oai:DiVA.org:kth-192963DiVA: diva2:974066
Note

QC 20170308

Available from: 2016-09-23 Created: 2016-09-23 Last updated: 2017-03-27Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Li, ZuxingOechtering, Tobias
By organisation
Communication TheoryACCESS Linnaeus Centre
Signal ProcessingCommunication Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 441 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf