IoT-based smart home : benefits, risks, solutions, and the AI developments for cyber defense

The ubiquity of the Internet of Things(IoT) has raised many privacy and security concerns for interconnecting networks and devices. Smart homes are a large part of IoT that presents itself in the everyday life of the human population. It is made of multiple devices in a home, controlled both locally and remotely, which aims to increase efficiency, comfortability and productivity via automation. Because of the smart home system’s constant collection of data of the home environment, it also poses a security risk if targeted by malicious individuals. There are several traditional methods such as the Intrusion Detection System for defending against different types of attacks, however, by using Artificial Intelligence (AI), the security of the smart could be far more improved. The Artificial Intelligence methods explored in this thesis via the study of previous research and implementation by experts are Machine Learning (ML), Intelligent Agents, and Artificial Neural Networks (ANNs). Although traditional cyber security mesures work, they are not as efficient as the AI methods mentioned in this thesis. This thesis aims to answer the question of how AI can be used in improving cybersecurity in IoT-based smart homes. After reading this thesis, one would be familiar with the architecture and security of an IoT-based smart home and the developments made in protecting them from threats, traditionally and with Artificial Intelligence