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面向安全和隐私保护的物联网智能家居:体系结构和实验研究。

Towards Secure and Privacy-Preserving IoT Enabled Smart Home: Architecture and Experimental Study.

机构信息

School of Computing, Ulster University, Belfast BT37 0QB, UK.

Department of Computing and Mathematics, Manchester Metropolitan University, Manchester M15 6BH, UK.

出版信息

Sensors (Basel). 2020 Oct 28;20(21):6131. doi: 10.3390/s20216131.

DOI:10.3390/s20216131
PMID:33126629
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7662378/
Abstract

Internet of Things (IoT) technology is increasingly pervasive in all aspects of our life and its usage is anticipated to significantly increase in future Smart Cities to support their myriad of revolutionary applications. This paper introduces a new architecture that can support several IoT-enabled smart home use cases, with a specified level of security and privacy preservation. The security threats that may target such an architecture are highlighted along with the cryptographic algorithms that can prevent them. An experimental study is performed to provide more insights about the suitability of several lightweight cryptographic algorithms for use in securing the constrained IoT devices used in the proposed architecture. The obtained results showed that many modern lightweight symmetric cryptography algorithms, as CLEFIA and TRIVIUM, are optimized for hardware implementations and can consume up to 10 times more energy than the legacy techniques when they are implemented in software. Moreover, the experiments results highlight that CLEFIA significantly outperforms TRIVIUM under all of the investigated test cases, and the latter performs 100 times worse than the legacy cryptographic algorithms tested.

摘要

物联网 (IoT) 技术在我们生活的各个方面越来越普及,预计未来的智慧城市将大量使用物联网技术来支持其众多的革命性应用。本文介绍了一种新的架构,该架构可以支持多种物联网智能家居用例,并具有指定级别的安全性和隐私保护。突出了可能针对此类架构的安全威胁,以及可以防止这些威胁的加密算法。进行了实验研究,以提供更多关于几种轻量级加密算法在保护所提出架构中使用的受限物联网设备方面的适用性的见解。获得的结果表明,许多现代轻量级对称加密算法,如 CLEFIA 和 TRIVIUM,针对硬件实现进行了优化,并且在软件中实现时,其能耗比传统技术高出 10 倍以上。此外,实验结果表明,在所有研究的测试用例中,CLEFIA 均明显优于 TRIVIUM,而后者的性能比测试的传统加密算法差 100 倍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55a0/7662378/5f4de964f144/sensors-20-06131-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55a0/7662378/4f1113d1836d/sensors-20-06131-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55a0/7662378/a79128ae74c0/sensors-20-06131-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55a0/7662378/6d7f7297d1bd/sensors-20-06131-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55a0/7662378/5f4de964f144/sensors-20-06131-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55a0/7662378/4f1113d1836d/sensors-20-06131-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55a0/7662378/a79128ae74c0/sensors-20-06131-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55a0/7662378/6d7f7297d1bd/sensors-20-06131-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55a0/7662378/5f4de964f144/sensors-20-06131-g004.jpg

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