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SecAODV:一种基于混合密码学的无线体域网安全医疗路由方案。

SecAODV: A Secure Healthcare Routing Scheme Based on Hybrid Cryptography in Wireless Body Sensor Networks.

作者信息

Jeong Heon, Lee Sang-Woong, Hussain Malik Mazhar, Yousefpoor Efat, Yousefpoor Mohammad Sadegh, Ahmed Omed Hassan, Hosseinzadeh Mehdi, Mosavi Amir

机构信息

Department of Fire Service Administration, Chodang University, Muan-gun, South Korea.

Pattern Recognition and Machine Learning Lab, Gachon University, Seongnam, South Korea.

出版信息

Front Med (Lausanne). 2022 Jul 21;9:829055. doi: 10.3389/fmed.2022.829055. eCollection 2022.

DOI:10.3389/fmed.2022.829055
PMID:35935783
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9351592/
Abstract

In recent decades, the use of sensors has dramatically grown to monitor human body activities and maintain the health status. In this application, routing and secure data transmission are very important to prevent the unauthorized access by attackers to health data. In this article, we propose a secure routing scheme called SecAODV for heterogeneous wireless body sensor networks. SecAODV has three phases: bootstrapping, routing between cluster head nodes, and communication security. In the bootstrapping phase, the base station loads system parameters and encryption functions in the memory of sensor nodes. In the routing phase, each cluster head node calculates its degree based on several parameters, including, distance, residual energy, link quality, and the number of hops, to decide for rebroadcasting the route request (RREQ) message. In the communication security phase, a symmetric cryptography method is used to protect intra-cluster communications. Also, an asymmetric cryptography method is used to secure communication links between cluster head nodes. The proposed secure routing scheme is simulated in the network simulator version 2 (NS2) simulator. The simulation results are compared with the secure multi tier energy-efficient routing scheme (SMEER) and the centralized low-energy adaptive clustering hierarchy (LEACH-C). The results show that SecAODV improves end-to-end delay, throughput, energy consumption, packet delivery rate (PDR), and packet loss rate (PLR).

摘要

近几十年来,传感器的使用急剧增加,用于监测人体活动并维持健康状况。在这种应用中,路由和安全的数据传输对于防止攻击者未经授权访问健康数据非常重要。在本文中,我们为异构无线体域网提出了一种名为SecAODV的安全路由方案。SecAODV有三个阶段:引导阶段、簇头节点之间的路由阶段和通信安全阶段。在引导阶段,基站将系统参数和加密函数加载到传感器节点的内存中。在路由阶段,每个簇头节点根据包括距离、剩余能量、链路质量和跳数在内的几个参数计算其度,以决定是否重新广播路由请求(RREQ)消息。在通信安全阶段,使用对称加密方法来保护簇内通信。此外,使用非对称加密方法来确保簇头节点之间的通信链路安全。所提出的安全路由方案在网络模拟器版本2(NS2)模拟器中进行了模拟。将模拟结果与安全多层节能路由方案(SMEER)和集中式低能量自适应聚类分层(LEACH-C)进行了比较。结果表明,SecAODV改善了端到端延迟、吞吐量、能耗、数据包交付率(PDR)和数据包丢失率(PLR)。

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A cluster-based trusted routing method using fire hawk optimizer (FHO) in wireless sensor networks (WSNs).

本文引用的文献

1
Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future.物联网(IoT):迈向智能与可持续未来的机遇、问题与挑战。
J Clean Prod. 2020 Nov 20;274:122877. doi: 10.1016/j.jclepro.2020.122877. Epub 2020 Jul 19.
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Information-Aware Secure Routing in Wireless Sensor Networks.信息感知的无线传感器网络安全路由
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A Trusted Routing Scheme Using Blockchain and Reinforcement Learning for Wireless Sensor Networks.基于区块链和强化学习的无线传感器网络可信路由方案。
一种基于簇的、在无线传感器网络(WSN)中使用火鹰优化器(FHO)的可信路由方法。
Sci Rep. 2023 Aug 11;13(1):13046. doi: 10.1038/s41598-023-40273-8.
4
A fuzzy logic-based secure hierarchical routing scheme using firefly algorithm in Internet of Things for healthcare.基于萤火虫算法的物联网中用于医疗保健的模糊逻辑安全分层路由方案。
Sci Rep. 2023 Jul 8;13(1):11058. doi: 10.1038/s41598-023-38203-9.
Sensors (Basel). 2019 Feb 25;19(4):970. doi: 10.3390/s19040970.
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An Efficient Next Hop Selection Algorithm for Multi-Hop Body Area Networks.一种用于多跳人体区域网络的高效下一跳选择算法。
PLoS One. 2016 Jan 15;11(1):e0146464. doi: 10.1371/journal.pone.0146464. eCollection 2016.