What is it about?
Biometrics security is a dynamic research area spurred by the need to protect personal traits from threats like theft, non-authorised distribution, reuse and so on. A widely investigated solution to such threats consists of processing the biometric signals under encryption, in order to avoid any leakage of information towards non-authorised parties. In this study, the authors propose to leverage on the superior performance of multimodal biometric recognition to improve the efficiency of a biometric based authentication protocol operating on encrypted data under the malicious security model. In the proposed protocol, authentication relies on both facial and iris biometrics, whose representation accuracy is specifically tailored to the trade-off between recognition accuracy and efficiency.
Photo by Tim de Groot on Unsplash
Why is it important?
In this paper, we have proposed a multimodal authentication protocol based on a protocol secure against a malicious party. We have shown that by using a multi-modal system it is possible to improve the efficiency of the recognition process in terms of number of multiplications and evaluation time, without any loss of accuracy. In the same way, it is also possible to improve accuracy at the cost of a negligible increase of complexity.
Read the Original
This page is a summary of: SEMBA: SEcure Multi-Biometric Authentication, IET Biometrics, June 2019, the Institution of Engineering and Technology (the IET), DOI: 10.1049/iet-bmt.2018.5138.
You can read the full text:
The following have contributed to this page