An efficient internet of things based intrusion detection and optimization algorithm for smart networks

Abstract

Smart cities in India have significantly benefited from the integration of Internet of Things (IoT) technologies, which enable advanced sensing, data communications, and automation within smart networks. However, this complex network of IoT devices also introduces challenges such as data loss, signal attenuation, and security vulnerabilities. To combat these issues, the Intrusion Detection and Optimization Algorithm (IoT-IDOA) has been developed, tailored specifically for IoT environments. This algorithm improves upon previous methods by identifying critical sink nodes and optimizing routing paths to enhance communication efficiency while reducing power consumption. Simulation results show that IoT-IDOA outperforms traditional approaches like the Key Match Detection Algorithm (KMA) and Cluster-based Detection Algorithm (CBA), especially in preventing selective forwarding and sink node attacks, and in lowering power dissipation to 0.235%, 0.365%, and 0.65%, respectively. the IoT-IDOA plays a crucial role in the evolution of smart cities in India. It sets new standards in network security and energy usage, contributing to the development of more sustainable, accurate, feasible, less power dissipation, resilient, and intelligent urban ecosystems. This progress is vital for realizing the full potential of smart city initiatives, paving the way for a future where urban environments are not only smarter but also more secure and environmentally friendly.