A Smart Trust Management Method to Detect On-Off Attacks in the Internet of Things

Author:

Caminha Jean12ORCID,Perkusich Angelo2ORCID,Perkusich Mirko2ORCID

Affiliation:

1. Computing Institute, Federal University of Mato Grosso, Cuiabá, MT, Brazil

2. Embedded Systems and Pervasive Computing, Federal University of Campina Grande, Campina Grande, PB, Brazil

Abstract

Internet of Things (IoT) resources cooperate with themselves for requesting and providing services. In heterogeneous and complex environments, those resources must trust each other. On-Off attacks threaten the IoT trust security through nodes performing good and bad behaviors randomly, to avoid being rated as a menace. Some countermeasures demand prior levels of trust knowledge and time to classify a node behavior. In some cases, a malfunctioning node can be mismatched as an attacker. In this paper, we introduce a smart trust management method, based on machine learning and an elastic slide window technique that automatically assesses the IoT resource trust, evaluating service provider attributes. In simulated and real-world data, this method was able to identify On-Off attackers and fault nodes with a precision up to 96% and low time consumption.

Funder

Fundação de Amparo à Pesquisa do Estado de Mato Grosso

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

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