Suppr超能文献

一种高效的物联网密钥管理技术。

An Efficient Key Management Technique for the Internet of Things.

作者信息

Tabassum Tamanna, Hossain S K Alamgir, Rahman Md Anisur, Alhamid Mohammed F, Hossain M Anwar

机构信息

Computer Science and Engineering Discipline, Khulna University, Khulna-9208, Bangladesh.

Research Chair of Smart Technologies, King Saud University, Riyadh 11543, Saudi Arabia.

出版信息

Sensors (Basel). 2020 Apr 6;20(7):2049. doi: 10.3390/s20072049.

Abstract

The Internet of Things (IoT) has changed our lives drastically. Customers, regulatory bodies, and industrial partners are driving us to use IoT. Although IoT provides new opportunities, security remains a key concern while providing various services. It is especially challenging how the data generated from IoT devices can be protected from potential security attacks and how to safeguard the exchange of these data while transiting through different nodes and gateways. In this research, we aim to ensure a safe IoT environment by proposing an efficient key management technique that uses a combination of symmetric and asymmetric cryptosystem to obtain the speed of the former as well as the security benefits of the latter. Our proposal considers a set of Smart Objects (SO) capable of key registration, generation and distribution for IoT data transmission. We used the open-source Message Queuing Telemetry Transport (MQTT) protocol to facilitate communications between the source and the destination nodes. The suitability of the proposed approach is measured experimentally and the results are comparable to existing works with respect to key conversion time, algorithm execution time, number of reuse connections, and bandwidth utilization.

摘要

物联网(IoT)已经极大地改变了我们的生活。客户、监管机构和行业合作伙伴正推动我们使用物联网。尽管物联网提供了新的机遇,但在提供各种服务时,安全仍然是一个关键问题。尤其具有挑战性的是,如何保护物联网设备生成的数据免受潜在的安全攻击,以及如何在数据通过不同节点和网关传输时保障这些数据的交换安全。在本研究中,我们旨在通过提出一种高效的密钥管理技术来确保安全的物联网环境,该技术结合了对称和非对称密码系统,以获得前者的速度以及后者的安全优势。我们的提议考虑了一组能够为物联网数据传输进行密钥注册、生成和分发的智能对象(SO)。我们使用开源的消息队列遥测传输(MQTT)协议来促进源节点和目的节点之间的通信。通过实验测量了所提方法的适用性,并且在密钥转换时间、算法执行时间、重用连接数和带宽利用率方面,结果与现有工作具有可比性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77b6/7181291/d734d0459c4d/sensors-20-02049-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验