A novel QoS-based IoT network security approach with lightweight lattice-based quantum attribute-based encryption

It is essential to ensure the safety of networks and devices that are wired together because of the rapid growth of the IoT and IIoT networks. To address the existing security challenges over the IoT while routing sensitive data, we proposed a novel QoS-based IoT security approach. Our model parades apparent characteristics in its unconventionality from accustomed routing protocols. Our approach proved that it is better than existing models in terms of efficiency, security, and privacy based on the conduction of a series of scrupulous tests and evaluations and noticed a better quality and performance over the IoT network while establishing connection and routing. To achieve better efficacy, we combined Lightweight lattice-based ABE with a novel Quantum Key Distribution model to overcome the cyber-attacks that were faced by most of the existing approaches with better computational overhead. This work presents an innovative method, integrating security and privacy by integrating QoS principles, intended to address the security and privacy issues while routing over the IoT networks. With our research, we have significantly improved IoT applications by introducing improvements of 24% in computational overhead, 18% in efficiency, and 14% in routing speed. These improvements allow devices to use less power and resources, support denser networks with better data reliability, and react faster to critical events. These developments directly help applications in smart homes, smart workplaces, and smart cities by making IoT systems more secure, economical, scalable, and energy efficient. These advancements directly affect applications in smart workplaces, smart homes, and smart cities, increasing the security, affordability, scalability, and energy efficiency of IoT systems. Our method helps to realise safer and more resilient IoT ecosystems across various application domains by enhancing the security and effectiveness of IoT networks.