Preserving privacy using visual cryptography in surveillance systems

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

2 Citations (Scopus)

Abstract

This study proposes a practical, cost-effective and privacy-enhancing visual cryptographic surveillance system solution to independently store multiple shares of the original camera images. A face-detection algorithm determines faces on the original real-time image, and then the determined faces are replaced with random data to protect people's identities. The rest of the image are kept, as it is to be able to follow the acts within the surveillance system. Whenever a suspected act occurs, independent entities in the system may act together to re-compose the original image and identify the suspected person. The proof of concept implementation, attack model and security analysis of the proposed model is discussed within the paper.

Original languageEnglish
Title of host publication2nd International Conference on Computer Science and Engineering, UBMK 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1141-1144
Number of pages4
ISBN (Electronic)9781538609309
DOIs
Publication statusPublished - 31 Oct 2017
Event2nd International Conference on Computer Science and Engineering, UBMK 2017 - Antalya, Turkey
Duration: 5 Oct 20178 Oct 2017

Publication series

Name2nd International Conference on Computer Science and Engineering, UBMK 2017

Conference

Conference2nd International Conference on Computer Science and Engineering, UBMK 2017
Country/TerritoryTurkey
CityAntalya
Period5/10/178/10/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Privacy
  • Surveillance systems
  • Visual cryptography

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