The Internet of Things (IoT) networks are vulnerable to various kinds of attacks, being the sinkhole attack one of the most destructive since it prevents communication among network devices. In general, existing solutions are not effective to provide protection and security against attacks sinkhole on IoT, and they also introduce high consumption of resources de memory, storage and processing. Further, they do not consider the impact of device mobility, which in essential in urban scenarios, like smart cities. This paper proposes an intrusion detection system, called INTI (Intrusion detection of SiNkhole attacks on 6LoWPAN for InterneT of ThIngs), to identify sinkhole attacks on the routing services in IoT. Moreover, INTI aims to mitigate adverse effects found in IDS that disturb its performance, like false positive and negative, as well as the high resource cost. The system combines watchdog, reputation and trust strategies for detection of attackers by analyzing the behavior of devices. Results show the INTI performance and its effectiveness in terms of attack detection rate, number of false positives and false negatives.
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.
As redes de Internet das coisas (IoT) são formadas por objetos heterogêneos e muito desses objetos possuem recursos limitados. Logo, as redes IoT são vulneráveis a vários tipos de ataques, sendo o ataque sinkhole um dos mais destrutivos. Contudo, as soluções existentes para a proteção e segurança contra os ataques sinkhole em IoT geram um elevado consumo de recursos e usam mecanismos complexos para garantir um bom desempenho. Este trabalho propõe um sistema para identificar ataques sinkhole no serviço de roteamento da IoT, chamado de INTI (Sistema de detecção de Intrução de ataques SiNkhole sobre 6LoWPAN para a InterneT das CoIsas). O INTI visa prevenir, detectar e isolar os ataques sinkhole no roteamento dentro da IoT, e ao mesmo tempo mitigar os efeitos adversos. O INTI combina o uso de watchdog, reputação e confiança para a detecção dos atacantes, por meio da análise do comportamento dos dispositivos. Resultados mostram o desempenho e a eficiência do INTI na detecção de ataques, número de falsos positivos e negativos.
Entre os desafios à implantação da IoT está sua vulnerabilidade a várias formas de ataques de roteamento por possuir uma infraestrutura variável, recursos computacionais distintos, e ser uma rede aberta e com objetos heterogêneos móveis. Os ataques sinkhole e selective forwarding destacam-se entre os mais destrutivos aos sistemas em redes não estruturadas. Embora os atuais sistemas de detecção de intrusão (IDS) sejam uma boa contramedida de proteção das redes e sistemas de disseminação de dados contra ataques na IoT, eles possuem diversas restrições de custos e desempenho. Este artigo propõe um sistema de detecção de intrusão contra ataques sinkhole e selective forwarding sobre o roteamento na IoT densa e móvel. O sistema, chamado Thatachi, utiliza agrupamento para lidar com a densidade e a mobilidade, e combina estratégias de watchdog, reputação e confiança na detecção de atacantes, a fim de garantir confiabilidade aos dispositivos. A avaliação do Thatachi no simulador Cooja mostrou sua eficácia na mitigação dos ataques e seu baixo consumo de recursos.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.