Processing in the encrypted domain using a composite signal representation: Pros and cons

Tiziano Bianchi, Thijs Veugen, Alessandro Piva, Mauro Barni

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

12 Citations (Scopus)

Abstract

The current solutions for secure processing in the encrypted domain are usually based on homomorphic cryptosystems operating on very large algebraic structures. Recently, a composite signal representation has been proposed that allows to speed up linear operations on encrypted signals via parallel processing and to reduce the size of the encrypted signals. Though many of the most common signal processing operations can be applied to composite signals, some operations require to process the signal samples independently from each other, thus requiring an unpacking of the composite signals. In this paper, we will address the above issues, showing both merits and limits of the composite signal representation when applied in practical scenarios. A secure protocol for converting an encrypted composite representation into the encryptions of the single signal samples will be introduced. A case study clearly highlights pros and cons of using the composite signal representation in the proposed scenarios.
Original languageEnglish
Title of host publication2009 First IEEE International Workshop on Information Forensics and Security (WIFS)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages176-180
Number of pages5
ISBN (Electronic)978-1-4244-5279-8
ISBN (Print)978-1-4244-5280-4
DOIs
Publication statusPublished - 9 Dec 2009
Externally publishedYes
EventFirst IEEE International Workshop on Information Forensics and Security, WIFS 2009 - London, United Kingdom
Duration: 6 Dec 20099 Dec 2009

Conference

ConferenceFirst IEEE International Workshop on Information Forensics and Security, WIFS 2009
Abbreviated titleWIFS 2009
Country/TerritoryUnited Kingdom
CityLondon
Period6/12/099/12/09

Keywords

  • Cryptography
  • Signal representations
  • Signal processing
  • Biomedical signal processing
  • Electronic mail
  • Protocols
  • Parallel processing
  • Databases
  • Discrete Fourier transforms
  • Finite impulse response filter
  • n/a OA procedure

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