Chaos coordinated neural key synchronization for enhancing security of IoT

Abstract The key exchange mechanism in this paper is built utilizing neural network coordination and a hyperchaotic (or chaotic) nonlinear dynamic complex system. This approach used to send receive sensitive data between Internet-of-Things (IoT) nodes across public network. Using phishing, Man-In-The-Middle (MITM), or spoofing attacks, an attacker can easily target information during the process. Furthermore, minimal research has been made on of input seed values for creating identical at both ends networks. proposed method uses 5D chaotic structure ensure sharing value two networks, resulting ends. study discusses ways coordination. first system with all real variables, whereas second least one variable. Each its own random weight vector, outputs are exchanged. It achieves full some stages by altering neuronal weights according mutual learning law. coordinated utilized as after technique. network’s core up triple concealed layers. So, determining inner configuration will be tough intruder. efficiency suggested model validated simulations, findings reveal that strategy outperforms current equivalent techniques.