Smart Home Security using Arduino-based Internet of Things (IoTs) Intrusion Detection System
Department of Computer Science, Faculty of Computing and Information System, Federal University Wukari, Nigeria.
Research Article
World Journal of Advanced Research and Reviews, 2024, 22(03), 857–864
Publication history:
Received on 20 April 2024; revised on 13 June 2024; accepted on 15 June 2024
Abstract:
Home intrusion detection systems (IDS) have become increasingly important in our modern community due to their high performance in adequately securing the home environment. Nowadays, there is an incessant increase in the number of theft cases hence a need for an intrusion detection system to detect any intruder around our homes. The aim of This paper is to develop a Smart Home Security using an Arduino-based Internet of Things (IoT) Intrusion Detection System. This security system is built using Arduino Uno, ultrasonic sensor and GSM module for efficient monitoring of intruders and sending of SMS alerts to the homeowners at a point of intrusion which is made possible through the Internet of Things network. The Internet of Things is simply a type of network used to connect anything with the Internet based on stipulated protocols through information sensing equipment to conduct information exchange and communications in order to achieve smart recognitions, positioning, tracing, monitoring, and or administration. The proposed system uses an Arduino microcontroller programed to coordinate the activities of the various components connected together for efficient communication using C++ programming language through the Arduino Integrated Development Environment (IDE). The system is simple and highly efficient as it is capable of detecting any intruder within the monitoring environment and triggering an SMS alert once an intruder is found.
Keywords:
Intrusion; Detection; Arduino; Internet of Things; Smart home; Sensor
Full text article in PDF:
Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0