Secure Data Transmission Based on Artificial Intelligence Using IoT in Security Systems

The Internet of Things (IoT), a rapidly expanding and constant technology today, enables the efficient exchange of information and control of electronic equipment. As technology grows more and more integrated into our daily lives, IoT serves as a bridge between human intelligence and artificial intelligence. Although the Internet of Things (IoT) presents numerous benefits for efficiency and creativity, it also poses serious privacy and security concerns. The main topic of the research is the enormous challenges in protecting IoT environments caused by the sheer number and variety of connected devices. This study’s main goal is to look into how machine learning methods may be used to lessen the ongoing security vulnerabilities in IoT environments. We intend to create more resilient and intelligent security systems that can adapt to the changing threat environment by utilising machine learning’s capabilities. The proposed study provides a thorough examination of the various elements and traits that make up IoT systems, with a focus on the current security measures. By taking a look at these elements, we may determine which strategies and techniques stand the highest chance of improving IoT security. This makes it possible for IoT deployments to be safer and more dependable in a technological setting that is quickly changing.