Trust and Reputation Management for Blockchain-enabled IoT

In recent years, there has been an increasing interest in incorporating blockchain for the Internet of Things (IoT) to address the inherent issues of IoT, such as single point of failure and data silos. However, blockchain alone cannot ascertain the authenticity and veracity of the data coming from IoT devices. The append-only nature of blockchain exacerbates this issue, as it would not be possible to alter the data once recorded onchain. Trust and Reputation Management (TRM) is an effective approach to overcome the aforementioned trust issues. However, designing TRM frameworks for blockchain-enabled IoT applications is a non-trivial task, as each application has its unique trust challenges with their unique features and requirements. In this paper, we present our experiences in designing TRM framework for various blockchain-enabled IoT applications to provide insights and highlight open research challenges for future opportunities.

Automated summary

In recent years, there has been a growing interest in integrating blockchain technology into the Internet of Things (IoT) to address issues such as data security and trust. However, using blockchain alone cannot guarantee the authenticity and accuracy of data from IoT devices. Trust and Reputation Management (TRM) is a viable solution, but designing TRM frameworks for blockchain-enabled IoT applications is challenging due to unique trust challenges and requirements. This paper presents experiences in designing TRM frameworks for various blockchain-enabled IoT applications, providing insights and highlighting research challenges for future opportunities.