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增强物联网安全性:一种用于轻量级分组密码的创新密钥管理系统。

Enhancing IoT Security: An Innovative Key Management System for Lightweight Block Ciphers.

作者信息

Rana Muhammad, Mamun Quazi, Islam Rafiqul

机构信息

School of Computing, Mathematics and Engineering, Charles Sturt University, Wagga Wagga, NSW 2678, Australia.

出版信息

Sensors (Basel). 2023 Sep 5;23(18):7678. doi: 10.3390/s23187678.

DOI:10.3390/s23187678
PMID:37765734
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10535244/
Abstract

This research paper presents a study on designing and implementing a robust key management scheme for lightweight block ciphers in Internet of Things (IoT) networks. Key management is a critical concern for IoT devices due to their limited resources and susceptibility to security threats. The proposed scheme utilises partial key pre-distribution to achieve lightweight and secure key management. The protocol's security has been analysed against various attacks, demonstrating its resistance. Performance evaluation results indicate that the proposed key management technique is suitable for resource-constraint IoT networks, as it reduces communication overhead, power consumption, and storage space requirements. The methodology employed in this research includes designing and implementing the proposed key management scheme and conducting scenario-based analyses of its functionality. The results affirm that the proposed solution effectively ensures secure communication in IoT networks. Overall, this research contributes to developing a secure and efficient key management scheme for lightweight block ciphers in IoT networks.

摘要

本研究论文提出了一项关于为物联网(IoT)网络中的轻量级分组密码设计和实现一个健壮的密钥管理方案的研究。由于物联网设备资源有限且易受安全威胁,密钥管理是其一个关键问题。所提出的方案利用部分密钥预分配来实现轻量级且安全的密钥管理。该协议的安全性已针对各种攻击进行了分析,证明了其抗性。性能评估结果表明,所提出的密钥管理技术适用于资源受限的物联网网络,因为它减少了通信开销、功耗和存储空间需求。本研究采用的方法包括设计和实现所提出的密钥管理方案,并对其功能进行基于场景的分析。结果证实,所提出的解决方案有效地确保了物联网网络中的安全通信。总体而言,本研究有助于为物联网网络中的轻量级分组密码开发一种安全高效的密钥管理方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f0c/10535244/548b289a84c0/sensors-23-07678-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f0c/10535244/ac43d370bbc4/sensors-23-07678-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f0c/10535244/28c9657eaf3b/sensors-23-07678-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f0c/10535244/08c52ee33148/sensors-23-07678-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f0c/10535244/70181ab6272e/sensors-23-07678-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f0c/10535244/4896f0117d0c/sensors-23-07678-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f0c/10535244/dd64e7ff3dbb/sensors-23-07678-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f0c/10535244/548b289a84c0/sensors-23-07678-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f0c/10535244/ac43d370bbc4/sensors-23-07678-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f0c/10535244/28c9657eaf3b/sensors-23-07678-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f0c/10535244/08c52ee33148/sensors-23-07678-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f0c/10535244/70181ab6272e/sensors-23-07678-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f0c/10535244/4896f0117d0c/sensors-23-07678-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f0c/10535244/dd64e7ff3dbb/sensors-23-07678-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f0c/10535244/548b289a84c0/sensors-23-07678-g007.jpg

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A qualitative comparison of different logical topologies for Wireless Sensor Networks.不同无线传感器网络逻辑拓扑结构的定性比较。
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