6G-Assisted Internet of Things Security Using Artificial Intelligence

Abstract

There are now several privacy and security issues associated with the IoT. Inadequate device updates, user ignorance, weak security measures, and the notorious active device monitoring constitute only some issues affecting the Internet of Things. Many researchers have narrowed in on the challenges of ensuring the secure functioning of the Internet of Things (IoT) due to the interplay of many factors and security principles. However, to maximize the advantages of artificial intelligence in an IoT environment using the 6G communication network. To address this issue, a 6G-assisted IoT security method using AI has been developed (6G-ISM-AI). The suggested model comprises two major components: a security module using a refined deep neural network and a powerefficient 6G real-time communication framework architecture. Improved network longevity and spectrum efficiency are only two of the benefits of the first module, which guarantees optimum energy usage and latency. Simultaneously, the second module guarantees a private, trustworthy, always-on IoT connection. The suggested technique has been shown to perform better in simulations than comparable models using 5G communication with reliable IoT security. The numerical finding of 6G-ISM-AI achieves management of energy consumption of 89.3 %, precision in computation of 98.4 %, efficiency ratio of 94.4%, network security using IoT technology of 99.4%, and UAV network security of 96.6%.