Joint encryption and compression of audio based on compressive sensing

Rodolfo Moreno-Alvarado, Eduardo Rivera-Jaramillo, Mariko Nakano, Hector Perez-Meana

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

3 Scopus citations

Abstract

The increasing amount of sensible information transmitted through insecure communications channels requires, the development of algorithms with the capacity of simultaneously compress and encrypt digital information. To solve this problem, this paper proposes an algorithm based on compressing sensing, which simultaneously compress and encrypt audio signals. In the proposed scheme the audio signal is segmented in frames of1000 samples which are then transformed in sparse frames using the DCT. Next each sparse frame is compressed using a different sensing matrix in each frame, to assure that the proposed system satisfies the Extended Wyner Secrecy (EWS) criterion. Evaluation results show that the proposed scheme allows the secure communication of audio signals.

Original languageEnglish
Title of host publication2019 42nd International Conference on Telecommunications and Signal Processing, TSP 2019
EditorsNorbert Herencsar
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages58-61
Number of pages4
ISBN (Electronic)9781728118642
DOIs
StatePublished - Jul 2019
Event42nd International Conference on Telecommunications and Signal Processing, TSP 2019 - Budapest, Hungary
Duration: 1 Jul 20193 Jul 2019

Publication series

Name2019 42nd International Conference on Telecommunications and Signal Processing, TSP 2019

Conference

Conference42nd International Conference on Telecommunications and Signal Processing, TSP 2019
Country/TerritoryHungary
CityBudapest
Period1/07/193/07/19

Keywords

  • Chaotic mixing
  • Compressive sensing (CS)
  • Extended Wyner Secrecy (EWS)
  • M-sequence

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