The software for the formation of parameters etalons for cyber-attacks detection systems

Abstract

The overwhelming majority of intrusion detection systems become an integral part of the protection of any network security, they are used to monitor suspicious activity in the system and detect an attack by an unauthorized party. Ac-tivating of cyberattacks initiates the creation of special technical solutions that can remain effective when new or modified types of cyber threats appear with unidentified or unclearly defined properties. The majority of such systems are aimed to detect suspicious activity or interfering in the network to take adequate measures to prevent cyber at-tacks. Current systems for detecting intrusions are those that are aimed to identify abnormal states, but they have a number of disadvantages. More effective in this regard are expert approaches based on the use of knowledge and experience of specialists in the relevant subject field. The construction of technical solutions and the creation of special tools (for example, software for detection systems that allow detection of previously unknown cyber attacks by controlling the current state of unclear parameters in a poorly formalized environment, based on expert approaches, is a promising area of research. Based on the well-known cyberattack detection system which is based on the methodology for detecting anomalies generated by cyber attacks and the set of appropriate methods and models, software provided by the basic algorithm and a number of developed procedures (grid construction, initialization of values based on a set of databases and modules; graphic forming of parameters, search of common points in ac-cordance with the basic rules and graphic interpretation of the result) allows to automate the process of forming parameters etalons for modern attack detection systems and display the results of detecting abnormal states at a given time interval.