Ensuring the Big Data Integrity Through Verifiable Zero-Knowledge Operations

Abstract

Information from databases is exposed to threats at all stages of its existence: from recording and storing in the database to processing and returning to the user. Big Data systems combine multiple DBMSs and databases. The problem of data integrity is the most acute in them. The article describes an approach to control the integrity of Big Data during their processing, based on verifiable zero knowledge operations. It can be applied to various complex systems containing heterogeneous Big Data databases. The proposed approach implements prospective data integrity protection against existing and hypothetical future threats.