Preserving privacy using visual cryptography in surveillance systems

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2 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2nd International Conference on Computer Science and Engineering, UBMK 2017
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar1141-1144
Sayfa sayısı4
ISBN (Elektronik)9781538609309
DOI'lar
Yayın durumuYayınlandı - 31 Eki 2017
Etkinlik2nd International Conference on Computer Science and Engineering, UBMK 2017 - Antalya, Turkey
Süre: 5 Eki 20178 Eki 2017

Yayın serisi

Adı2nd International Conference on Computer Science and Engineering, UBMK 2017

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???event.eventtypes.event.conference???2nd International Conference on Computer Science and Engineering, UBMK 2017
Ülke/BölgeTurkey
ŞehirAntalya
Periyot5/10/178/10/17

Bibliyografik not

Publisher Copyright:
© 2017 IEEE.

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