Abstract

Medication safety administration is a complicated process involving the information of patients, drugs, and data storage. The sensitive data transmitted through wireless sensor networks (WSNs) from Internet of things (IoT) over an insecure channel is vulnerable to several threats and needs proper attention to be secured from adversaries. Taking medication safety into consideration, this paper presents a secure authentication protocol for wireless medical sensor networks. The XOR scheme-based algorithm is applied to achieve the purposes of data confidentiality. The proposed architecture is realized as hardware in a field-programmable gate array (FPGA) device which acts as a secure edge computing device. The performance of the proposed protocol is evaluated and simulated via Verilog hardware description language. The functionality of the proposed protocol is verified using the Altera Quartus II software tool and implemented in the Altera Cyclone II DE2-70 FPGA development module. Furthermore, the output signals from the FPGA are measured in the 16702A logic analyzer system to demonstrate real-time functional verification.

Highlights

  • The Internet of things (IoT) as an emerging network paradigm has been broadly applied in our daily life along with the development of wireless sensor network (WSN)

  • WSNs have been subject to a great deal of research over recent years, driven by their potential to embed into the physical environment and observe and act on certain phenomena

  • To achieve local password change and forward security while resisting mobile device loss attacks, we propose a mutual authentication scheme for wireless medical sensor network (WMSN)

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Summary

Introduction

The Internet of things (IoT) as an emerging network paradigm has been broadly applied in our daily life along with the development of wireless sensor network (WSN)technologies [1,2]. Workshop, focusing on wireless sensor networks research challenges such as networking technologies, signal processing techniques, and distributed algorithms [3]. This led to the beginning of the worldwide research boom on WSNs technology. For a healthcare information system, medication management is a complex, multifaceted operation involving multiple people and numerous data transmission steps; medication errors can occur throughout the system network. Due to advances in medical sensors and low-power network systems, the use of the IoT in electronic health (e-health) management systems has emerged in recent years to prevent the growing incidence of medical errors [12]

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