الفهرس 
Title : Compromised node detection using hierarchical fuzzy logic and feature reduction
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Abstract
This research proposes a hierarchal fuzzy logic system used for detecting the compromised or attacked nodes in wireless networks. The proposed system is composed of three hierarchal layers and each layer composed of concrete components built using the Fuzzy Unordered Rule Induction Algorithm (FURIA) fuzzy logic. The Particle Swarm Optimization (PSO) technique is used at the data preprocessing phase to reduce the significant features number. We used NSL-KDD dataset for the training and evaluation phases, and the WEKA is the environment used for experiments