Increasing memory security through data scrambling and information entropy models

The memory of any digital system stores sensitive information that needs to be protected from any type of attacks. In the last decade, device specific attacks have been reported and analyzed, attacks that successfully extract private encryption keys from AES algorithms. In this work, a novel technique is proposed which targets the increase of security in memory systems through the use of data scrambling and information entropy models. In order to make the proposed solution viable, dissemination rules are employed and explained. Also, the method is evaluated from several points of view.