Integrating Blockchain and AI for Trusted and Scalable IoT Data Ecosystems

Abstract

The current research study is about a Blockchain-based and Artificial Intelligence-oriented platform of the IoT data management in its form of a safe, maximal, and reliable manner. Since the IoT systems generate high data sets, data security, real-time processing, and decision-making are a critical issue. Blockchain allows decentralized control, integrity, and immutability of data, whereas AI can increase the effectiveness of data analysis and decision-making. The framework incorporates all these technologies to overcome issues of scalability, trust, and privacy of data. The paper discusses the role of blockchain in ensuring IoT data security the anomaly detection, and device trustworthiness estimation with the help of AI models of the Random Forest and SVM. Those findings prove the effectiveness of the framework to enhance the data security of the IoT system and its scalability. The prospective directions of the study are also addressed, such as optimization of blockchain scalability or the use of new AI techniques to explore the depth of trust.