无线传感器网络的安全展望

IF 0.3 Q4 ENGINEERING, MULTIDISCIPLINARY UIS Ingenierias Pub Date : 2021-05-10 DOI:10.18273/revuin.v20n3-2021014
Fernando Gutiérrez-Portela, Florina Almenares-Mendoza, Liliana Calderón-Benavides, Efrén Romero-Riaño
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引用次数: 1

摘要

在无线传感器网络(WSN)中,节点很容易受到安全攻击,因为它们安装在功率和内存有限、处理能力低、广播传输中等的恶劣环境中。因此,识别安全和隐私方面的威胁、挑战和解决方案是当今的一个热门话题。本文分析了在保护WSN免受威胁和攻击的安全机制方面进行的研究工作,以及其他国家出现的趋势,并结合未来的研究路线。从方法论的角度来看,这一分析是通过对IEEE、ACM、Scopus和Springer等数据库中索引的作品的可视化和研究来显示的,从2013年到2019年,以7年为观察窗口。共获得4728份出版物,中印合作率较高。该研究提出了一些进展,如安全原理和防御机制的进步,这些进展导致了入侵检测中对策的设计。最后,研究结果表明了科学界和商界对使用人工智能和机器学习(ML)优化性能测量的兴趣。
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Prospectiva de seguridad de las redes de sensores inalámbricos
In Wireless Sensor Networks (WSN), nodes are vulnerable to security attacks because they are installed in a harsh environment with limited power and memory, low processing power, and medium broadcast transmission.Therefore, identifying threats, challenges, and solutions of security and privacy is a talkingtopic today. This article analyzes the research work that has been carried out on the security mechanisms for the protection of WSN against threats and attacks, as well as the trends that emerge in other countries combined with future research lines. From the methodological point of view, this analysis is shown through the visualization and study of works indexed in databases such as IEEE, ACM, Scopus,and Springer, with a range of 7 years as an observation window, from 2013 to 2019. A total of 4,728 publications were obtained, with a high rate of collaborationbetween China and India. The research raised developments, such as advances in security principles and defense mechanisms, which have led to the design of countermeasures in intrusion detection. Finally, the results show the interest of the scientific andbusiness community in the use of artificial intelligence and machine learning (ML) to optimize performance measurements.
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来源期刊
UIS Ingenierias
UIS Ingenierias ENGINEERING, MULTIDISCIPLINARY-
自引率
33.30%
发文量
27
审稿时长
12 weeks
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