High-Assurance Integrity Techniques for Databases

With the increased need of data sharing among multiple organizations, such as government organizations, financial corporations, medical hospitals and academic institutions, it is critical to ensure data integrity so that effective decisions can be made based on these data. In this paper, the authors first present architecture for a comprehensive integrity control system based on data validation and metadata management. They then discuss an important issue in the data validation, that is, the evaluation of data provenance and propose a trust model for estimating the trustworthiness of data and data providers.