Cited By
View all- Kumar TBraeken AJurcut ALiyanage MYlianttila M(2019)AGE: authentication in gadget-free healthcare environmentsInformation Technology and Management10.1007/s10799-019-00306-zOnline publication date: 3-Oct-2019
Privacy improvement model for biometric person recognition in ambient intelligence using perceptual hashing
Article No.: 18, Pages 1 - 6
Abstract
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.
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Index Terms
- Privacy improvement model for biometric person recognition in ambient intelligence using perceptual hashing
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November 2018
109 pages
ISBN:9781450365154
DOI:10.1145/3277570
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Published: 15 November 2018
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CECC 2018 Paper Acceptance Rate 19 of 30 submissions, 63%;
Overall Acceptance Rate 38 of 65 submissions, 58%
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View all- Kumar TBraeken AJurcut ALiyanage MYlianttila M(2019)AGE: authentication in gadget-free healthcare environmentsInformation Technology and Management10.1007/s10799-019-00306-zOnline publication date: 3-Oct-2019
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