SENSOR ALERT: INTERNET OF THINGS-BASED INTRUSION PREVENTION ALERT
| dc.contributor.author | FATIN NAZIFA BINTI SHAHRIN | |
| dc.date.accessioned | 2026-04-28T02:13:44Z | |
| dc.date.issued | 2024 | |
| dc.description | This project focuses on the development of an Internet of Things (IoT)-based intrusion prevention system that utilizes door sensors for enhanced security. In today’s world, conventional security systems often suffer from slow response times, which can result in significant damage or loss before any action is taken. The aim of this project is to create a real-time alert system that enables immediate detection of intruders, offering a quick response to unauthorized access. The system is designed to be user-friendly, allowing for easy monitoring and control through mobile devices, and can be easily integrated into existing security setups. Using a combination of Arduino, sensors, and security cameras, the project offers a modular and cost-effective solution for monitoring sensitive areas in offices or businesses. The system consists of door sensors that detect movement and send notifications to the user’s smartphone, allowing for instant awareness and response. The project follows an Agile methodology to ensure adaptability and continuous improvement based on user feedback. This approach helps address issues such as human error and slow reaction times that are common in traditional security systems. Ultimately, this project aims to provide a reliable and efficient security solution for businesses, ensuring the safety of sensitive documents and valuable assets. | |
| dc.identifier.uri | https://scholarhub.unimas.my/handle/123456789/513 | |
| dc.language.iso | English | |
| dc.publisher | UNIVERSITI MALAYSIA SARAWAK | |
| dc.relation.ispartofseries | Faculty of Computer Science and Information Technology | |
| dc.title | SENSOR ALERT: INTERNET OF THINGS-BASED INTRUSION PREVENTION ALERT | |
| dc.type | Final Year Project |