A Statistical Fractal Diffie-Hellman Key Exchange Authentication Protocol for Intelligent IoT Irrigation Systems

Abstract

Encourage the use of sensors in the intelligent interconnected future, we use statistical fractal analysis to create a network of wireless sensors (WSN) key distribution simulation.Among the wireless sensor networks is growing technologies in the coming decades and has posed various unique challenges to researchers. While the set of challenges in sensor network are diverse, we focus on security of in this study, we discuss wireless sensor networks.. The present works propose a scheme to distribute a fractal key among all nodes utilising the Diffie-Hellman key swap and also using a concept of the cryptography. Proposed work is founded on one-way hash cryptography and Diffie-Hellman functions in order to provide strong data rate support for the fundamental security functions and the capacity to fend off known threats. The formal verification of the proposed approach is done. We describe a resistance analysis of the suggested system based on many assault scenarios. Additional evaluations about the storage capacity are carried out, intercommunication, and running Time is money. As a result, the suggested plan is not just regarded as a safe method of authentication, yet especially useful for intelligent Internet of Things irrigation systems because of its sensible efficiency ratios.