This research project will develop algorithmic approaches to evaluating the trustworthiness of data in large internet of things (IoT) networks.
This project will focus on the trust assessment of individual pieces of data as it moves through an IoT network.
This is different from constructing trust models for individual nodes in the network.
We define trustworthiness as a measure of how closely data supplied to an end user matches the data true value of the data at the source.
Data can be corrupted either through natural degradation of the system or by intentional malicious attacks, such as cyber attacks.
In this project, we do not distinguish between the two and desire a methodology that can adequately evaluate trustworthiness in both circumstances.