Facilitating trust on data through provenance

Abstract

Research on trusted computing focuses mainly on the security and integrity of the execution environment, from hardware components to software services. However, this is only one facet of the computation, the other being the data. If our goal is to produce trusted results, a trustworthy execution environment is not enough: we also need trustworthy data. Provenance of data plays a pivotal role in ascertaining trustworthiness of data. In our work, we explore how to use state-of-the-art systems techniques to capture and reconstruct provenance, thus enabling us to build trust on both newly generated and existing data. © 2014 Springer International Publishing.