Protecting smart home Environment using machine learning Algorithm Based on Internet of Things

Abstract

In today's information technology-driven society, automation systems make people's lives easier and comfortable than ever before. We call the proposed system IoT-Home Advanced Security System or IoT-Home Advance Security for short. IoT-Home Advance Security System was established using Python 3 and can be executed in two modes of operation. The in-line mode allows the IoT-Home Advance Security System to be installed in-line with the traffic inside a Raspberry Pi or a Router. In the in-line mode, internet of things (IoT)-Home Advance Security System acts as an IPS that can detect and block threats as well as alert the user. The second mode is the passive mode, where IoT-Home Advance Security System in not connected in-line with the traffic and can act as an IDS that passively monitors the traffic, detecting threats and alerting the user, but not blocking the attack. IoT-Home Advance Security System was evaluated via four testing scenarios.