大规模物联网系统中路由攻击的集群和可靠性驱动缓解

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Aldri L. Santos, Christian A. V. Cervantes, Michele Nogueira, Burak Kantarci
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引用次数: 19

摘要

海量物联网作为5G通信的重要组成部分,由于其基础设施的动态性、计算资源的差异性和移动对象的异质性,容易受到各种路由攻击。天坑攻击和选择性转发攻击是对无基础设施网络最具破坏性的攻击之一。尽管传统入侵检测系统(IDS)引入了对策,但大规模物联网寻求新的解决方案来满足其独特的需求。本文介绍了支持物联网安全路由的沉降洞检测和选择性转发(THATACHI),这是一种针对大规模和移动物联网路由机制的沉降洞和选择性转发攻击的新型IDS。为了应对在检测攻击者和确保可靠性方面的密度和移动性挑战,THATACHI利用了看门狗,声誉和信任策略。我们在城市场景下的性能评估表明,THATACHI的检测率为99%,假阴性和假阳性率为6%。此外,与其最接近的前身相比,针对物联网的天坑攻击,THATACHI的能耗至少降低了50%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clustering and reliability-driven mitigation of routing attacks in massive IoT systems
As an integral component of the 5G communications, the massive Internet of Things (IoT) are vulnerable to various routing attacks due to their dynamic infrastructure, distinct computing resources, and heterogeneity of mobile objects. The sinkhole and selective forwarding attacks stand out among the most destructive ones for infrastructureless networks. Despite the countermeasures introduced by legacy intrusion detection systems (IDS), the massive IoT seeks novel solutions to address their unique requirements. This paper introduces DeTection of SinkHole And SelecTive ForwArding for Supporting SeCure routing for Internet of THIngs (THATACHI), a new IDS against sinkhole and selective forwarding attacks that target routing mechanism in massive and mobile IoT networks. To cope with the density and mobility challenges in the detection of attackers and ensuring reliability, THATACHI exploits watchdog, reputation and trust strategies. Our performance evaluation under an urban scenario shows that THATACHI can perform with a 99% detection rate, 6% of false negative and false positive rates. Moreover, when compared to its closest predecessor against sinkhole attacks for IoT, THATACHI runs with at least 50% less energy consumption.
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来源期刊
Journal of Internet Services and Applications
Journal of Internet Services and Applications COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
3.70
自引率
0.00%
发文量
2
审稿时长
13 weeks
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