Artificial Intelligence for Cyber Security Goals

This paper aims at the interconnection between cyber security and artificial intelligence systems. In modern parlance, artificial intelligence systems are machine learning systems, the interpretation sometimes narrowed further to artificial neural networks. While machine learning increasingly penetrates into various spheres of information technology application, its intersection with cyber security is naturally to occur. The problem is that this intersection cannot be described by any single model. Combination of artificial intelligence and cyber security has a wide range of application. The common factor is obviously the use of machine learning techniques, but the objectives as well as the results achieved to date differ a lot. For example, with machine learning used to detect attacks and intrusions, real progress is made if compared to previous approaches; however, attacks on machine learning systems themselves cannot be combated by the system protection. The classification of models for applying machine learning to cyber security is the focus of this paper.