Internet of Things Data Privacy and Security-Based on Blockchain Technology

The integration of Deep Extreme Learning Machine (D.E.L.M) and blockchain technology represents a paradigm shift in addressing security and privacy challenges within the Internet of Things (IoT), particularly in smart system environments. In this research, a blockchain-based smart system, enhanced by D.E.L.M, is proposed to fortify security, optimize energy consumption, and provide personalized user experiences. The decentralized nature of blockchain ensures tamper-resistant data storage, mitigating vulnerabilities associated with centralized authentication servers. The system's performance is evaluated through statistical measures during the training and validation phases, demonstrating high accuracy and minimal false predictions. This study contributes to advancing the understanding of blockchain and D.E.L.M synergies in the context of smart systems, offering a foundation for further exploration and innovation within IoT ecosystems. As smart systems become increasingly prevalent, the proposed system lays the groundwork for a more secure, adaptive, and privacy-conscious IoT landscape.