Biolab - Evaluation of biometric vertification systems

Biolab
Optimization of electronic systems for personal authentication. Investigation of the following system parameters: Performance, Usability and Vunerabilities.

Project description

Current situation

For many years biometric systems have been an essential method of user authentication due to their ease of use and reliability. Due to increasing digitization and automation in authentication processes, biometric systems are becoming more and more important. They are now an integral part of both consumer applications (for example smartphones) and government applications (for example border control systems). However, the growing importance of biometric systems also increases the demands on reliability and security. In order to ensure effective use and thus contribute to the protection of civil society, the continuous evaluation of biometric systems in the future is of crucial importance.

The Biometrics Evaluation Center (BEZ), which was established in 2018 in close cooperation between the Federal Office for Information Security (BSI) and the Institute of Safety and Security Research (ISF) at Bonn-Rhein-Sieg University of Applied Sciences, serves as the place of implementation for the evaluations.

Das angezeigte Bild stellt Beisppiele für verfälschte biometrische Merkmale. Es zeigt 8 Gesichter, die entweder durch Masken, vorgehaltene Fotos oder durch ein vorgehaltenes Smartphone mit dem Foto eine anderen Person abgedeckt werden.
Modified biometric characteristics - Dr. Holger Steiner (ISF)

Objectives

The objectives of the Biolab project are to evaluate biometric systems, to develop evaluation methodologies and tools, to develop new biometric security technologies, and to conduct training and workshops. Three criteria of biometric systems will be investigated during the evaluation:

1. Biometric performance

For this purpose, practical functional tests will be carried out with a large number of test subjects, which should show the greatest possible diversity.

2. Vulnerabilities

Here, verification systems are exposed to different attack variants to test their effectiveness. The goal is to test how well a system detects fake biometric features presented to it. Camera systems, for example, can be tested by checking whether the system recognizes when masks are presented to it instead of real faces.

3. Usability

The correct use of the biometric systems is also tested within the framework of extensive test person studies.

Project manager at H-BRS

Prof. Dr Norbert Jung

Professor for Applied Computer Science in particular Embedded Systems
Chair of the Senate
Norbert Jung
Email: 
norbert.jung [at] h-brs.de
Email: 
senatsvorsitz [at] h-brs.de

Prof. Dr Robert Lange

Ingenieurwiss., insb. Elektrotechnik und elektronische Schaltungstechnik
Portrait Prof. Dr. Robert Lange
Email: 
robert.lange [at] h-brs.de

Co-operating professors

Research associates

Sponsors