An End-to-end Trust Management Framework for Crowdsourced IoT Services

We propose a novel end-to-end trust management framework for crowdsourced Internet of Things (IoT) services. The framework targets threemain aspects: trust assessment, trust information credibility and accuracy, and trust information storage. We harness the usage patterns of IoT consumers to offer a trust assessment that adapts to IoT consumers' uses. Additionally, our framework ascertains the credibility and accuracy of trust-related information before trust assessment. This is achieved by validating the data collected by IoT consumers and providers. In addition, our framework ensures the contextual fairness between IoT services and trust information. Moreover, we propose a blockchain-based trust information storage approach. Our proposed storage solution preserves the integrity and availability of trust information.

Automated summary

We propose a novel end-to-end trust management framework for crowdsourced Internet of Things (IoT) services, targeting trust assessment, credibility and accuracy of trust information, and trust information storage. By utilizing the usage patterns of IoT consumers, we provide a trust assessment that is adaptable to their needs, validate the trust-related information collected by consumers and providers, ensure contextual fairness between IoT services and trust information, and propose a blockchain-based storage approach to ensure the integrity and availability of trust information.