AI-Powered Blockchain for Decentralized IoT Applications: Enhancing Security and Efficiency in Edge Computing

Abstract

The Internet of Things (IoT) disrupted all the industries that allowed controlling the processes of all businesses in the real-time regime using automatization and optimization. Security issues, centralized control as well as inefficient processing of data on the other hand may face the IoT networks. On edge computing, this is aggravated by the fact that the data being processed is done near the source to minimize latency and bandwidths utilized by the IoT devices. This can be solved because the decentralized blockchain technology is able to offer security and transparency to the process of using the IoT. Besides it, the Artificial Intelligence (AI) had an opportunity to enhance the quality of decision-making and create opportunities to predict and identify anomalies. The paper will address the combination of AI and Blockchain as one of the ways of making the decentralized IoT system much safer and faster in an edge computing environment. The strategy therefore helps in ensuring that the IoT applications will be secure and more productive whereby; BlockChain will be used to handle the data securely and; AI will be used to process and make real-time decisions on how the data will be used. The paper suggests the theoretical framework considering the presence of such technologies in the decentralised IoT platforms and the possible implications to the security, scalability as well as the effectiveness. The possible future applications and trends as well as the real world applications are provided, especially of the smart cities, healthcare and industrial IoT.