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Internet-of-things (IoT) is perpetually revolutionizing our daily life andrapidly transforming physical objects into an ubiquitous connected ecosystem.Due to their massive deployment and moderate security levels, those devicesface a lot of security, management, and control challenges. Their classicalcentralized architecture is still cloaking vulnerabilities and anomalies thatcan be exploited by hackers for spying, eavesdropping, and taking control ofthe network. In this paper, we propose to improve the IoT architecture withadditional security features using Artificial Intelligence (AI) and blockchaintechnology. We propose a novel architecture based on permissioned blockchaintechnology in order to build a scalable and decentralized end-to-end secure IoTsystem. Furthermore, we enhance the IoT system security with an AI-component atthe gateway level to detect and classify suspected activities, malware, andcyber-attacks using machine learning techniques. Simulations and practicalimplementation show that the proposed architecture delivers high performanceagainst cyber-attacks.

Scalable and Secure Architecture for Distributed IoT Systems