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MVAL: Addressing the Insider Threat by Valuation-based Query Processing

The research presented in this paper is inspired by problems of conventional database security mechanisms to address the insider threat, i.e. authorized users abusing granted privileges for illegal or disadvantageous accesses. The basic idea is to restrict the data one user can access by a valuation of data, e.g. a monetary value of data items, and, based on that, introducing limits for accesses. The specific topic of the present paper is the conceptual background, how the process of querying valuated data leads to valuated query results. For this, by analyzing operations of the relational algebra and SQL, derivation functions are added.