Title

A Secure Signature Scheme for IoT Blockchain Framework Based on Multimodal Biometrics

Document Type

Conference Proceeding

Abstract

Blockchain technology is receiving a lot of attention in recent years for its wide variety of applications in different fields. On the other hand, the Internet of Things (IoT) technology currently considers the new growth engine of the fourth industrial revolution. Current studies developed techniques to overcome the limitations of IoT authentication for secure scalability in the Blockchain network by only managing storing the authentication keys. However, this authentication method does not consider security when extending the IoT to the network; as the nature of IoT ensures connectivity with multiple objects, with many places that increase security threats, it causes serious damage to assets. This brought many challenges in achieving equilibrium between security and scalability. Aiming to fill this gap, the work proposed in this paper adapts multimodal biometrics for extracting a private key with high entropy for authentication to improve IoT network security. The suggested model also evaluates the security score for the IoT device using a whitelist through Blockchain smart contract to ensure the devices authenticate quickly and limit the infected machines. Experimental results prove that our model is inherently unforgeable against adaptively chosen message attacks; it also reduces the number of infected devices to the network by up to 49% compared to the conventional schemes.

Publication Date

1-1-2021

Faculty

Faculty of Arts and Design

Subject Area

Physical Sciences, General Engineering

Indexed in Scopus

yes

DOI

https://doi.org/10.1007/978-3-030-58669-0_24

Volume

1261 AISC

Keywords

Blockchain, Feature fusion, Fuzzy identity signature, IoT, Multimodal biometrics

ISSN

21945357

eISSN

21945365

Link to Full Text

Share

COinS