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.
