Secure query processing using AI techniques

Abstract

The use of AI (artificial intelligence) techniques for query processing in a multilevel secure database management system is described. The techniques ensure that a query is modified in such a way that if the modified query is posed, then the response generated will not violate security requirements. These techniques also handle constraints that classify data by content and context, and constraints that classify data that depend on the classifications of other data.<>