Biometric Systems in Future Crime Prevention Scenarios – How to Reduce Identifiability of Personal Data
Biometric Systems in Future Crime Prevention Scenarios – How to Reduce Identifiability of Personal Data
(Generated with the help of GPT-4)
| Quick Facts | |
|---|---|
| Report location: | source |
| Language: | English |
| Publisher: |
Universität Kassel |
| Authors: | Benjamin Stach, Ll.m., Matthias Pocs, Monika Desoi |
| Geographic focus: | Germany, Global |
Methods
The research method involved analyzing the German legal framework, assessing technical design proposals, and proposing a Three-Step-Model for biometric systems in future crime prevention scenarios.
(Generated with the help of GPT-4)
Key Insights
The research explores the reduction of identifiability of biometric data in future crime prevention scenarios, focusing on the legal framework, challenges, and a proposed Three-Step-Model for biometric systems.
(Generated with the help of GPT-4)
Additional Viewpoints
Categories: English publication language | Germany geographic scope | Global geographic scope | biometric data processing | biometric models | biometric systems | crime | crime prevention biometrics | data protection | identifiability reduction | identification | individual rights | legal framework | monitoring | privacy rights | surveillance methods | surveillance technologies | three-step-model