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Privacy improvement model for biometric person recognition in ambient intelligence using perceptual hashing (CROSBI ID 669822)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Grd, Petra ; Tomičić, Igor ; Bača, Miroslav Privacy improvement model for biometric person recognition in ambient intelligence using perceptual hashing // Proceedings of the Central European Cybersecurity Conference 2018. Ljubljana: The Association for Computing Machinery (ACM), 2018. doi: 10.1145/3277570.3277589

Podaci o odgovornosti

Grd, Petra ; Tomičić, Igor ; Bača, Miroslav

engleski

Privacy improvement model for biometric person recognition in ambient intelligence using perceptual hashing

In the past two decades ambient intelligence (AmI) has been a focus of research in different fields and from different points of view. It can be defined as an electronic environment consisting of devices capable of recognising people presence and responding in a certain way. The security and privacy in these kind of environments is still a challenge. With employing biometrics for person recognition in ambient intelligence, the devices could distinguish between different people in a non- intrusive way. With this, the privacy issue occurring in ambient intelligence is even more pronounced when combined with biometric recognition. This paper shows a privacy improvement model for biometric person recognition in ambient intelligence using perceptual hashing.

privacy ; biometric ; ambient intelligence ; perceptual hash

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Podaci o prilogu

18

2018.

objavljeno

10.1145/3277570.3277589

Podaci o matičnoj publikaciji

Proceedings of the Central European Cybersecurity Conference 2018

Ljubljana: The Association for Computing Machinery (ACM)

978-1-4503-6515-4

Podaci o skupu

Central European Cybersecurity Conference 2018

predavanje

15.11.2018-16.11.2018

Ljubljana, Slovenija

Povezanost rada

Informacijske i komunikacijske znanosti, Računarstvo

Poveznice