AI-POWERED KEY DISTRIBUTION MECHANISM FOR IOT SECURITY

Abstract

One of the many problems IoT has brought is secure key distribution for connected devices. However, it is growing rapidly, which brings with it many security challenges. In this research, an adaptive cryptographic protocols based key distribution mechanism powered by AI is presented to improve the IoT security. Using lightweight encryption algorithm like PRESENT and SIMON, which has very low computational overhead, the proposed system also has compatibility with the resource constrained IoT devices. Moreover, a new dynamic key management framework using machine learning models, is used in order to monitor and prevent potential security threats in real time. Blockchain technology is integrated further to strengthen the system as it enables decentralized trust and secure key exchange in distributed networks. Experimental evaluations show that the performance is better in terms of energy efficiency, latency reduction and resistance against cryptographic attacks as compared to the traditional key management schemes. Furthermore, the proposed solution tackles scalability issues by using clustering techniques to deal with large scale of IoT networks. With this AI driven method, adaptive learning models are built, which adaptively optimize key distribution strategies continuously and dynamically divert key distribution capability in accordance with the changing circumstances of the network as well as the changing patterns of threat. With incorporating the recent cryptographic protocols, blockchain technology as well as machine learning, this framework forms a powerful solution to bolstering IoT security.