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Trust is a broad concept that in many systems is often reduced to user reputation alone. However, user reputation is just one way to determine trust. The estimation of trust can be tackled from other perspectives as well, including by looking at provenance.

Here, we present a complete pipeline for estimating the trustworthiness of artifacts given their provenance and a set of sample evaluations. The pipeline is composed of a series of algorithms for (1) extracting relevant provenance features, (2) generating stereotypes of user behavior from provenance features, (3) estimating the reputation of both stereotypes and users, (4) using a combination of user and stereotype reputations to estimate the trustworthiness of artifacts, and (5) selecting sets of artifacts to trust. These algorithms rely on the W3C PROV recommendations for provenance and on evidential reasoning by means of subjective logic.

We evaluate the pipeline …