Detection of Abnormal Traffic in Dynamic Computer Networks with Mobile Consumer Devices

Abstract

An adaptive model of a network attack detection system in a distributed computer network is proposed. The detection system is based on various methods of data mining allowing referring the network interaction to the normal or abnormal according to the set of the attributes extracted from the network traffic. The proposed model of the intrusion detection system allows ensuring the protection of devices of the Internet of things.