A systematic review of routing attacks detection in wireless sensor networks.

PeerJ Computer Science Pub Date : 2022-10-21 eCollection Date: 2022-01-01 DOI:10.7717/peerj-cs.1135
Zainab Alansari, Nor Badrul Anuar, Amirrudin Kamsin, Mohammad Riyaz Belgaum
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引用次数: 6

Abstract

Wireless sensor networks (WSNs) consist of hundreds, or thousands of sensor nodes distributed over a wide area and used as the Internet of Things (IoT) devices to benefit many home users and autonomous systems industries. With many users adopting WSN-based IoT technology, ensuring that the sensor's information is protected from attacks is essential. Many attacks interrupt WSNs, such as Quality of Service (QoS) attacks, malicious nodes, and routing attacks. To combat these attacks, especially on the routing attacks, we need to detect the attacker nodes and prevent them from any access to WSN. Although some survey studies on routing attacks have been published, a lack of systematic studies on detecting WSN routing attacks can be seen in the literature. This study enhances the topic with a taxonomy of current and emerging detection techniques for routing attacks in wireless sensor networks to improve QoS. This article uses a PRISMA flow diagram for a systematic review of 87 articles from 2016 to 2022 based on eight routing attacks: wormhole, sybil, Grayhole/selective forwarding, blackhole, sinkhole, replay, spoofing, and hello flood attacks. The review also includes an evaluation of the metrics and criteria used to evaluate performance. Researchers can use this article to fill in any information gaps within the WSN routing attack detection domain.

无线传感器网络中路由攻击检测的系统综述。
无线传感器网络(wsn)由数百或数千个分布在广泛区域的传感器节点组成,并用作物联网(IoT)设备,使许多家庭用户和自主系统行业受益。随着许多用户采用基于无线网络的物联网技术,确保传感器信息免受攻击至关重要。导致wsn中断的攻击有很多,如QoS攻击、恶意节点攻击、路由攻击等。为了对抗这些攻击,特别是路由攻击,我们需要检测攻击者节点并阻止他们对WSN的任何访问。虽然已经发表了一些关于路由攻击的调查研究,但从文献中可以看出,缺乏对WSN路由攻击检测的系统研究。本研究通过对无线传感器网络中路由攻击的当前和新兴检测技术的分类来增强该主题,以提高QoS。本文使用PRISMA流程图系统回顾了2016年至2022年期间的87篇文章,基于8种路由攻击:虫洞、sybil、灰洞/选择性转发、黑洞、天坑、重放、欺骗和hello flood攻击。审查还包括对用于评估绩效的度量和标准的评估。研究人员可以利用这篇文章来填补WSN路由攻击检测领域的任何信息空白。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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