Smart Home Security Using Internet of Things, Deep Learning, and Blockchain Technology

Abstract

The number of instances spotted in which the security of various residences has been compromised. These breaches are not just the consequence of theft but also the faults of domestic appliances like gas cylinders and electricity. Some of these appliances have been known to cause these problems. To mitigate the effects of this issue, we must equip our houses with the most cutting-edge technology to be both functional and safe. The main aim of this study is to safeguard homes using IoT, improve home security, and lower the likelihood of adverse effects from security breaches and malfunctions of household appliances. A wide range of technological systems, methods, and fields of study, such as the Internet of Things (IoT), Raspberry PI, Hidden Markov Model, Deep Extreme Learning Machines, and Deep Learning Neural Networks, were investigated. In the past, several technological advancements have assisted in making homes more intelligent by deploying the appropriate technology and monitoring various activities within the home when the user is away from the premises. We will be able to monitor a wide variety of activities taking place within the house. In addition, improved technological efficiency, as well as more developed inventions in the field of smart homes will be proposed because of this research. This research aimed to enhance residential safety and address the rising concerns over security breaches and the malfunctioning of domestic goods. This study investigated novel strategies for securing home properties using cutting-edge technologies such as the Internet of Things (IoT), Raspberry Pi, the Hidden Markov Model, Deep Extreme Learning Machines, Deep Learning Neural Networks, and blockchain technology.