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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]

This article is a comparative analysis in building VPNs with IPSec and SSL. The basic architecture of the two methods is presented. Also the pros and cons of the two protocols are described. The resemblance and the differences between IPsec and SSL are investigated. A comparative evaluation based on key criteria is made. [ABSTRACT FROM AUTHOR]

Computer security is defined as the protection of computer systems against threats to confidentiality, integrity and availability. Penetration is defined as a set of actions to compromise the integrity, confidentiality, and availability of resources. To monitor the events that occur in computer systems or networks is called intrusion detection system (IDS). This paper introduces a model for IDS based on multi-agent systems and artificial intelligence. [ABSTRACT FROM AUTHOR]

To create and implement multi-agent systems a platform is needed where the agents operate from. Such environment provides agent models and tools to ease the development of multi-agent systems. This paper introduces framework for Multi-Agent System implementation. Such platform is JADE - Java Agent Development Framework. The Software makes it easy the development of multi-agent applications in compliance with the FIPA specification for generic agent technologies. [ABSTRACT FROM AUTHOR]

The present paper describes some of the results obtained in the Faculty of Computer Systems and Technology at Technical University of Sofia in the implementation of project related to the application of intelligent methods for increasing the security in computer networks. Also is made a survey about existing hybrid methods, which are using several artificial intelligent methods for cyber defense. The paper introduces a model for intrusion detection systems where multi agent systems are the bases and artificial intelligence are applicable by the means simple real-time models constructed in laboratory environment. [ABSTRACT FROM AUTHOR]

The Faculty of Computer Systems and Control at Technical University of Sofia began research on the application of intelligent systems for information security. This paper aims to show the directions of this research. [ABSTRACT FROM AUTHOR]

The present paper describes some of the results obtained in the Faculty of Computer Systems and Technology at Technical University of Sofia in the implementation of project related to the application of intelligent methods for increasing the security in computer networks. In order to build a rational and consistent approach to the choice of artificial intelligence methods best suited to counteract certain classes of threats, it is necessary to achieve systematization, unification and classification of the cyber-security threats and the sources of these threats. This can be realized using the new concepts and classifications in the field of cyber threats examination. [ABSTRACT FROM AUTHOR]

The present paper describes some of the results obtained at Technical University of Sofia in the implementation of project related to the application of intelligent methods for increasing the security in computer networks. The analysis of the feasibility of various Artificial Intelligence methods has shown that a method that is equally effective for all stages of the Cyber Intelligence cannot be identified. While for Tactical Cyber Threats Intelligence has been selected and experimented a Multi-Agent System, the Recurrent Neural Networks are offered for the needs of Operational Cyber Threats Intelligence. [ABSTRACT FROM AUTHOR]