Issues of Internet of Things (IoT) and an Intrusion Detection System for IoT Using Machine Learning Paradigm

Abstract

The proceedings contain 23 papers. The special focus in this conference is on Evolutionary Computation Theory and Applications. The topics include: Evolutionary tuning of optimal PID controllers for second order systems plus time delay; evolution of graphs for unsupervised learning; sequence analysis with motif-preserving genetic algorithm for iterated parrondo games; evolutionary learning of linear composite dispatching rules for scheduling; occupational diseases risk prediction by genetic optimization; a statistical approach to dealing with noisy fitness in evolutionary algorithms; particle swarm optimization with dynamic topology and conservation of evaluations; a dissimilarity learning approach by evolutionary computation for faults recognition in smart grids; noise sensitivity of an information granules filtering procedure by genetic optimization for inexact sequential pattern mining; a shuffled complex evolution algorithm for the examination timetabling problem; static and dynamic methods for fuzzy signal processing of sound and electromagnetic environment based on fuzzy observations; the ordinal controversy and the fuzzy inference system through an application and simulation to teaching activity evaluation; a fuzzy approach for performance appraisal; M-valued measure of roughness for approximation of L-fuzzy sets and its topological interpretation; fuzzy control of a sintering plant using the charging gates; handling uncertainty degrees in the evaluation of relevant opinions within a large group; towards an objective tool for evaluating the surgical skill; neurons with non-standard behaviors can be computationally relevant; single-hidden layer feedforward neual network training using class geometric information and mixtures of product components versus mixtures of dependence trees.