Enhanced IoT based Approach to provide Secured System

The Internet of Things (IoT) is a new generation of linked technologies that makes use of a variety of networks to give intelligent services to end users. It is based on different networks, the security and privacy are the main concerns of the system. The system's performance has been negatively impacted by a number of security threats as a result of the security flaws. Any IoT-based system's performance can be greatly enhanced by installing an effective and reliable Intrusion Detection System (IDS). The current system's efficiency is accomplished at a considerable expense in terms of time and memory. An extended version of the Convolutional Neural Network (DCNN) is proposed to further enhance the IDS's efficiency. In order to test and assess the suggested approach, experiments are carried out. In terms of precision and accuracy, the suggested technique beats the current IDS methods.