Fuzzy network for IPv6 routing attack detection

This publication focuses on the use of fuzzy neural network for data classification in case of IPv6 routing attack detection. In this paper a proposed fuzzy neural network with Ordered Fuzzy Numbers is compared to the well-known solutions as Artificial Neural Network. In an experiment the ROUT-4-2023 dataset was used. The results prove, that this implementation could be used for data classification in small IoT solutions. The conclusions provide an overview of the limitations, potential directions for future research, and recommendations for upcoming projects.