BBTM-IoT: New IoT Systems Trust Management Model Using Blockchain
Mohammadjavad Sharifpour, Seyyed Amir Asghari Tochae, Shabnam Bohlooli · 2024
The Internet of Things (IoT) seeks to establish a vast network comprising billions of interconnected devices to enable seamless data exchange and intelligent interactions between people and objects. This network is characterized by openness, diversity, and dynamicity, leading to trust issues that impede the widespread adoption of IoT. Trust management plays a crucial role in identifying malicious nodes, fostering trust relationships, and bolstering system security. Conventional trust management systems face significant challenges that hinder their effectiveness in supporting IoT development. Blockchain, as a disruptive technology, shows promise in addressing these trust management challenges by leveraging its decentralized, consistent, and tamper-proof features. This study aims to enhance trust in the Internet of Things by leveraging blockchain technology. The article introduces key concepts such as blockchain technology, CTL (Certificate Trust List), IoT, and trust management, emphasizing critical research and development in trust management models. To highlight the importance of blockchain in maintaining trust, a novel trust management model is proposed, incorporating CTL to validate IoT Devices’ legitimacy in blockchain transactions. Finally, the article assesses the efficiency of the proposed model, with the outcomes providing strong proof of its effectiveness. Our simulation results indicate that utilizing the PoW (Proof of Work) consensus model in an IoT system may not be the most optimal approach. The model we have presented displays a reduced memory growth rate of only 0.39% per block. This enhancement is projected to greatly improve the process of block verification. Specifically, the PoW algorithm took 4.2 seconds to incorporate 10 blocks, whereas our model completed the same task in just 0.61 seconds.