ESR 9: Vulnerability assessment in the use of biometrics in unsupervised environments
Generally speaking, using a biometric authentication does not imply that the system is secured, especially in unsupervised environments. In this scenario, attacks can be performed without restrictions, thus, automatic countermeasures are vital in the biometric system to mitigate the risk of identity theft.
The main objectives of this project are: (i) investigating the security of biometric authentication and examination of the system’s vulnerability to presentation attacks, (ii) a set of software tools which eliminate or mitigate the potential attacks (iii) a scalable attack detection framework that covers different sensing technologies with the possibility of covering multiple modality.
What was achieved and the impacts
There are several practical applications for the research results: (a) the proposed software solutions has shown efficient performance so that they can be integrated to commercial fingerprint sensors, (b) the research had been conducted targeting a scalable solution that can be adjusted to additional sensing technologies, further, to different biometric modalities, and (c) the earned expertise contributes to improve the current evaluation methodologies and risk analysis standards.