Deep Learning for IoT Security

Abstract

The term internet of things (IoT) denotes the advanced phase of the internet, wherein a worldwide communication infrastructure is established between individuals and machines. The IoT is now being developed as a worldwide infrastructure that has the potential to significantly transform various aspects of human life. Nevertheless, the interconnected nature of IoT systems and the involvement of other disciplines in their implementation have presented novel security obstacles. However, the utilization of deep learning techniques holds significant importance in enhancing the security of IoT systems. This transformation goes beyond the facilitation of secure communication between devices, as it enables the development of intelligent systems that prioritize security. In this chapter, the basic architecture of IoT has been discussed with its applications and security challenges. Different deep-learning techniques for securing IoT devices with their strengths and weaknesses have also been explored.