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

Abstract

We propose a novel end-to-end trust management framework for crowdsourced Internet of Things (IoT) services. The framework targets three main aspects:trust assessment,trust information credibility and accuracy, andtrust information storage. We harness theusage patternsof IoT consumers to offer a trust assessment thatadaptsto IoT consumers’ uses. Additionally, our framework ascertains thecredibilityandaccuracyof trust-related information before trust assessment. This is achieved by validating the data collected by IoT consumers and providers. In addition, our framework ensures thecontextual fairnessbetween IoT services and trust information. Moreover, we propose a blockchain-based trust information storage approach. Our proposed storage solution preserves theintegrityandavailabilityof trust information.