A Review on Applications of Intelligent Intrusion Detection Using Machine Learning and IoT
Jay Ashokkumar Soliya, Amarsinh Bhimrao Varpe, Anil Kumar Patel · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2024
In this research article is to use machine learning and internet of things components to create an intelligent intrusion detection and alert system. To detect motion, the system combines an Arduino Uno and a PIR sensor. Data is gathered and preprocessed before motion events are recorded. To differentiate between people and animals, machine learning methods that identify motion patterns include Random Forest and Decision Tree. The system sends notifications to the SIM900A module when it detects human presence. An add-on that can be used to improve detection accuracy is the use of a camera module and a cloud-based server for Deep Learning analysis. This method offers a strong intrusion detection solution by utilizing machine learning and real-time data processing. Keywords Intrusion Detection, IoT, Machine Learning, PIR Sensor, Notification Setup, SIM900A Module, Ultrasonic Sensor, IR Sensor, Arduino Uno.