Pregled bibliografske jedinice broj: 970555
Privacy improvement model for biometric person recognition in ambient intelligence using perceptual hashing
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. 18, 6 doi:10.1145/3277570.3277589 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 970555 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Privacy improvement model for biometric person recognition in ambient intelligence using perceptual hashing
Autori
Grd, Petra ; Tomičić, Igor ; Bača, Miroslav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the Central European Cybersecurity Conference 2018
/ - Ljubljana : The Association for Computing Machinery (ACM), 2018
ISBN
978-1-4503-6515-4
Skup
Central European Cybersecurity Conference 2018
Mjesto i datum
Ljubljana, Slovenija, 15.11.2018. - 16.11.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
privacy ; biometric ; ambient intelligence ; perceptual hash
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
HRZZ-IP-2014-09-3877 - Internet stvari-okvir interoperabilnosti (IoTIF) (Vrček, Neven, HRZZ - 2014-09) ( CroRIS)
Ustanove:
Fakultet organizacije i informatike, Varaždin