Safe and Secure Object Detection in IoT with AES Algorithm and MQTT Protocol

Abstract

The emergence of the Internet of Things (IoT) in recent years has completely changed how we engage with technology. New applications and use cases, have been developed as a result of the ability to connect to and communicate with numerous devices and sys tems. But as connected devices proliferate, security worries have grown to be a significant problem.In this study, we suggest a secure object detection and authentication system that makes use of the MQTT protocol and the Advanced Encryption Standard (AES) algorithm. An efficient and highly secure symmetric encryption technique is AES, which is extensively used. We’ll make advantage of it to guarantee the privacy and accuracy of the data sent between IoT devices.The suggested system would also include machine learning methods for object detection. As a result, the system will be able to identify things in real-time, which can be helpful in a variety of settings like surveillance, home automation, and healthcare.We will use the MQTT protocol for data transport to ensure the stability and scalability of the system. IoT applications frequently employ MQTT, a simple and effective communications protocol. It is the perfect option for our suggested solution because it offers an IoT device communication channel that is dependable and secure.The suggested system will, in general, offer an effective and secure solution for ob ject detection and authentication in IoT applications. It will show how using cutting-edge encryption and machine learning methods may improve the security and functionality of IoT systems.