Employing Dynamic Logic in Cybersecurity

Abstract

Dr. Leonid Perlovsky, distinguished physicist and cognitive scientist, pondered this question, which could have a significant impact on his research direction in the years to come. Over the past few decades, he had developed and refined algorithms for distinguishing objects in images, an approach that had found its way into various classified U.S. Department of Defense (DoD) applications. Now he was looking for new potential opportunities to see his research applied, allowing it to evolve further. One of the most interesting aspects of Perlovsky’s approach was that it was very similar to that taken by the human brain in processing sensory information. It began with a very vague model of what might or might not be present in the data being examined. Through successive iterations, analogous to the layers of processing used in human sensory systems, the patterns in the data corresponding to objects would grow more and more distinct until, finally, they became recognizable. Unlike most statistical techniques, this approach— termed “dynamic logic” by Perlovsky—did not require that a model be specified in advance. As such, it was well suited for contexts that required discovery.