Artificial intelligence and cybersecurity

Dmitry Namiot, Eugene Ilyushin, Ivan Chizhov

Abstract


In this article, we consider the relationship between artificial intelligence systems and cybersecurity. In the modern interpretation, artificial intelligence systems are machine learning systems, sometimes it is even more narrowed down to artificial neural networks. If we are talking about the ever-widening penetration of machine learning into various areas of application of information technology, then, naturally, there should be intersections with cybersecurity. But the problem is that such an intersection cannot be described by any one model. Combinations of Artificial intelligence and cybersecurity have many different applications. Common is, of course, the use of machine learning methods, but the tasks, as well as the results achieved to date, are completely different. For example, if the use of machine learning for attack and intrusion detection shows real achievements compared to previously used approaches, then attacks on machine learning systems themselves have so far completely defeated possible defenses. This article is devoted to the classification of models for the application of machine learning in cybersecurity.

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References


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