无线传感器网络的安全挑战、缓解策略和未来趋势综述

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Ahmet Oztoprak, Reza Hassanpour, Aysegul Ozkan, Kasim Oztoprak
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引用次数: 0

摘要

无线传感器网络(wsn)代表了一种创新技术,它将紧凑、节能的传感器与无线通信功能集成在一起,促进了对周围环境的即时监控和数据收集。无线传感器网络应用于各种领域,如环境监测、工业自动化、医疗保健、智能农业、家庭自动化等。由于无线传感器网络的固有特性,它们面临着许多安全挑战,从基于资源的攻击(如能量耗尽或计算过载)到窃听、拦截和篡改。此外,传感器在不同环境中的动态和经常临时部署增加了它们对物理入侵攻击的脆弱性,wsn的分布式和协作性质引起了对数据完整性的担忧,因为受损的节点可能会在整个网络中传播误导或恶意信息。在本文中,我们对WSN攻击进行分类,识别漏洞和相应的缓解策略。探讨了当前无线传感器网络安全的研究方向,强调了解决这些问题所面临的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Security Challenges, Mitigation Strategies, and Future Trends in Wireless Sensor Networks: A Review
Wireless Sensor Networks (WSNs) represent an innovative technology that integrates compact, energy-efficient sensors with wireless communication functionalities, facilitating instantaneous surveillance and data gathering from the surrounding environment. WSNs are utilized across diverse domains, such as environmental monitoring, industrial automation, healthcare, smart agriculture, home automation, and beyond. Due to the inherent characteristics of WSNs they face many security challenges ranging from resource-based attacks, such as energy depletion or computational overload, to eavesdropping, interception, and tampering. Moreover, the dynamic and often ad-hoc deployment of sensors in varying environments increases their vulnerability to physical intrusion attacks, the distributed and collaborative nature of WSNs raises concerns about data integrity, as compromised nodes can potentially propagate misleading or malicious information throughout the network. In this article, we categorize WSN attacks, identifying vulnerabilities and corresponding mitigation strategies. We also explore current research directions in WSN security, emphasizing the challenges in addressing these issues.
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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