Attack Detection

By R. Brooks, Ilker Özçelik. 2020

Purpose: Biometric systems play a crucial role in authentication and identification processes but are vulnerable to various attacks that compromise their security and reliability. Detecting such attacks is critical to ensuring the integrity of these systems and maintaining user trust. This study focuses on detecting face presentation attacks using a cost-effective thermal sensor array. The primary goal is to combine an RGB camera, a thermal sensor array, and deep convolutional neural networks (CNNs) to differentiate between genuine face presentations and facial presentation attacks. The aim is to develop a novel biometric attack detection technique using the thermal sensor array, which is more affordable compared to other existing technologies.