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The inspiration that has been drawn from the newly discovered natural phenomena, finds substantial application in computer science. Genetic algorithms are a metaheuristic gear for finding solutions of problems that the explorer does not even understand and the results are beneficial to many industrial spheres. However, can that inspiration be applied in a computer game trainer for personal qualities development and this way closing the cycle: from nature to machine and from it to the inner nature of a person? This would require research on the inner occurrences or more precisely the semi-conscious reactions of the player, derived as a response from their insight. Although the fact that the various characters of people are a challenge for the development, maintaining more "individuals" - behaviour of bots generated with genetic algorithms would help in the searching of a useful opponent for the improving player. As much as challenging the goal of "teaching a machine to be a teacher for a person" may seem, it should definitely be set because once accomplished it would bring, not only discovery of the benefits of video games, but would also lead us to the inspiring question: "How much more can a modern software be useful to people and nature?" [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic forced many companies to send their employees to work from home, which led to a significant increase in cyberattacks over RDP. Remote Desktop Protocol (RDP) is a Microsoft protocol that allows administrators to access desktop computers remotely. As it gives the user full control over the device, it is a valuable entry point for adversaries. Every cyberattack goes through several stages before its termination. Lateral Movement is one of those stages that is of particular importance. This article presents the first step of a project for Designing a remote connection protection system based on artificial intelligence methods. The research reviews the problems in lateral movement detection. A literature review is conducted, outlining techniques for automatic detection of malicious lateral movements. There is a discussion about the possibility of using artificial intelligence methods in lateral movement detection and the choice of an appropriate method. [ABSTRACT FROM AUTHOR]

Artificial Intelligence (AI) is a very promising field of development, in many directions. It is widespread in computer technology (biotechnology, nanotechnology, Internet of Things, etc.) as well as in robotics, 3D printing, quantum computing, and many more. Using it to predict and defend from cyber attacks is another of its many applications. In conduct of a project to study the security of cyber-physical connections in the context of next-generation computer networks, an overview of AI methods and their application in Industry 4.0 has been made. More attention has been given to the application of AI as a mean of protecting technologies such as SCADA, industrial Internet of Things, and in general cyber- physical connections. The aim of this study is to present and compare different methods of AI for fighting cyber attacks, or rather their application in systems for detecting and preventing intrusions in the field of the technology mentioned. [ABSTRACT FROM AUTHOR]