A blockchain-empowered authentication scheme for worm detection in wireless sensor network

Chen, Yuling, Yang, Xiong, Li, Tao, Ren, Yi and Long, Yangyang (2022) A blockchain-empowered authentication scheme for worm detection in wireless sensor network. Digital Communications and Networks. ISSN 2352-8648

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Abstract

Wireless Sensor Network (WSN) is a distributed sensor network composed a large number of nodes with low cost, low performance and self-management. The special structure of WSN brings both convenience and vulnerability. For example, a malicious participant can launch attacks by capturing a physical device. Therefore, node authentication that can resist malicious attacks is very important to network security. Recently, blockchain technology has shown the potential to enhance the security of the Internet of Things (IoT). In this paper, we propose a Blockchain-empowered Authentication Scheme (BAS) for WSN. In our scheme, all nodes are managed by utilizing the identity information stored on the blockchain. Besides, the simulation experiment about worm detection is executed on BAS, and the security is evaluated from detection and infection rate. The experiment results indicate that the proposed scheme can effectively inhibit the spread and infection of worms in the network.

Item Type: Article
Faculty \ School: Faculty of Science > School of Computing Sciences
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 21 Apr 2022 09:30
Last Modified: 13 May 2022 00:23
URI: https://ueaeprints.uea.ac.uk/id/eprint/84710
DOI: 10.1016/j.dcan.2022.04.007

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