Reactive and Proactive Methods for Database Protection against Logical Inference Attacks
A. A. Poltavtsev · Automatic Control and Computer Sciences · 2022
Abstract If data is not available to the outside world, it is useless. It must be available so that it can be processed and planned. Regulating and monitoring user access to a database is an important task for the database security community. Protecting a database against logical inference attacks is part of information security to prevent the disclosure of sensitive data through available information (tables and individual records). It is necessary to have methods capable of maintaining a balance between the use of information and the protection of data. The purpose of this work is to compare different inference control methods in order to evaluate the results of methods to minimize both the loss of information and the risk of information disclosure.