Mitigating on-off attacks in the internet of things using a distributed trust management scheme

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Abstract

In the Internet of Things (IoT), physical objects are able to provide or require determined services. The purpose of this work is to identify malicious behavior of nodes and prevent possible On-Off attacks to a multiservice IoT. The proposed trust management model uses direct information generated from direct communication with the nodes to evaluate trust between nodes. This distributed approach allows nodes to be completely autonomous in making decisions about the behavior of other nodes. We perform network simulations using Contiki-OS to analyze the performance of the proposed trust model. Simulation results show effectiveness against On-Off attacks and also a good performance to recognize malicious nodes in the network.

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Mendoza, C. V. L., & Kleinschmidt, J. H. (2015). Mitigating on-off attacks in the internet of things using a distributed trust management scheme. International Journal of Distributed Sensor Networks, 2015. https://doi.org/10.1155/2015/859731

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