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

作者：Caminha Jean^*; Perkusich Angelo; Perkusich Mirko

来源：Security and Communication Networks, 2018, 2018: UNSP 6063456.

DOI：10.1155/2018/6063456

Internet of Things (IoT) resources cooperate with themselves for requesting and providing services. In heterogeneous and complex environments, those resourcesmust 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.

• 出版日期2018