Multimodal Biometric-Based Secured Access Mechanism for Wireless Sensor Networks

Abstract

Wireless Sensors Network’s (WSN) security is a critical concern owing to their unattended and intimidating distribution. Providing authentication to these networks with limited resources is a challenging task. Biometric based user authentication schemes with light computations and easy operations provide potential solutions. Several unimodal biometric techniques are proposed to secure WSN. Unimodal is susceptible to limited accuracy and spoofing. However, Multimodal biometric technology offers greater security. This paper proposes an algorithm combining fingerprint and iris biometric features for authentication. Registration and authentication processes using limited resources that are available at the WSN nodes are implemented. Experimentation results calculate computational overhead and are compared with existing methods.

Iris Recognition Approach for Preserving Privacy in Cloud Computing

“…H. Djalal Rafik et al [10] suggested a biometric database for identification or authentication purposes. High-resolution digital cameras are required to capture high-quality iris photos.…”

“…• AES's accuracy was found to be 94%. [10,20] Cancelable Biometrics Using Deep Learning as a Cloud Service…”