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A Requirement Analysis for Privacy Preserving Biometrics in View of Universal Human Rights and Data Protection Regulation
- Source :
- EUSIPCO, 2018 26th European Signal Processing Conference (EUSIPCO)
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- Data Protection (DP) and Universal Human Rights are extremely relevant to biometrics, where inherently private data is used for authentication purposes. In this context this paper stresses that there are significant challenges beyond biometric authentication. For example, it has been shown in the existing literature that medical information of a skin disease from a fingerprint, symptoms of diabetes on the retina, or diseases affecting one's walk can be extracted from biometric recordings. We address the derived privacy challenges in biometrics by a careful review of relevant aspects of the universal human rights from UN documents and the EU General Data Protection Regulation (GDPR) with a first identification and enumeration of relevant attributes. From the derived privacy sensitive attributes and respective requirements, de-identification approaches to protection of soft biometrics in face and fingerprints are explored. In consideration of these techniques, there is the question of what constitutes legal and moral biometric signal processing presently in the state-of-the-art, as well as motivation for further work towards fulfilling the criteria.
- Subjects :
- Authentication
Biometrics
Computer science
Data_MISCELLANEOUS
05 social sciences
Soft biometrics
Fingerprint (computing)
050109 social psychology
Context (language use)
02 engineering and technology
Fingerprint recognition
Computer security
computer.software_genre
Authentication (law)
Fingerprint
General Data Protection Regulation
0202 electrical engineering, electronic engineering, information engineering
Data Protection Act 1998
020201 artificial intelligence & image processing
0501 psychology and cognitive sciences
computer
Subjects
Details
- ISBN :
- 978-90-827970-1-5
- ISBNs :
- 9789082797015
- Database :
- OpenAIRE
- Journal :
- 2018 26th European Signal Processing Conference (EUSIPCO)
- Accession number :
- edsair.doi.dedup.....0444635e4e153ea1161c51644c6acca3