Detection of intrusions into the Internet of things system

Abstract

The Internet of Things (IoT) is an evolving technology in which computing devices and sensors exchange data over a network to solve various tasks and provide services. Medical care, remote control of devices, interaction between machines, etc. are services provided today for users without human intervention. Despite a number of advantages, this technology also has disadvantages, one of which is security. There are many methods used to protect the Internet of Things, one of them is the Intrusion detection System (IDS) - this is one of the most original and well-organized methods that can protect Internet of Things devices from intruders and detect their attack with high accuracy. The article discusses such types of attacks as DDoS/DoS, hello flood and Sybil attack, etc., as well as various types of approaches to IDS, such as machine learning, SDN and machine-based identifiers, which can be useful for preventing and detecting attacks on Internet of Things devices.