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    Wyświetlanie 1-2 z 2
    Tytuł:
    Cognitive Modeling and Formation of the Knowledge Base of the Information System for Assessing the Rating of Enterprises
    Autorzy:
    Kryvoruchko, Olena
    Desiatko, Alona
    Karpunin, Igor
    Hnatchenko, Dmytro
    Lakhno, Myroslav
    Malikova, Feruza
    Turdaliev, Ayezhan
    Powiązania:
    https://bibliotekanauki.pl/articles/27311936.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    information security
    audit
    Bayesian network
    artificial neural networks
    Opis:
    A mathematical model is proposed that makes it possible to describe in a conceptual and functional aspect the formation and application of a knowledge base (KB) for an intelligent information system (IIS). This IIS is developed to assess the financial condition (FC) of the company. Moreover, for circumstances related to the identification of individual weakly structured factors (signs). The proposed model makes it possible to increase the understanding of the analyzed economic processes related to the company's financial system. An iterative algorithm for IIS has been developed that implements a model of cognitive modeling. The scientific novelty of the proposed approach lies in the fact that, unlike existing solutions, it is possible to adjust the structure of the algorithm depending on the characteristics of a particular company, as well as form the information basis for the process of assessing the company's FC and the parameters of the cognitive model.
    Źródło:
    International Journal of Electronics and Telecommunications; 2023, 69, 4; 697--705
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Development of an Information Security System Based on Modeling Distributed Computer Network Vulnerability Indicators of an Informatization Object
    Autorzy:
    Lakhno, Valerii
    Alimseitova, Zhuldyz
    Kalaman, Yerbolat
    Kryvoruchko, Olena
    Desiatko, Alona
    Kaminskyi, Serhii
    Powiązania:
    https://bibliotekanauki.pl/articles/27311974.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    information security
    informatization object
    distributed computing network
    mathematical model
    vulnerability coefficient
    virtualization
    IDS
    SIEM
    Opis:
    A methodology for development for distributed computer network (DCN) information security system (IS) for an informatization object (OBI) was proposed. It was proposed to use mathematical modeling at the first stage of the methodology. In particular, a mathematical model was presented based on the use of the apparatus of probability theory to calculate the vulnerability coefficient. This coefficient allows one to assess the level of information security of the OBI network. Criteria for assessing the acceptable and critical level of risks for information security were proposed as well. At the second stage of the methodology development of the IS DCN system, methods of simulation and virtualization of the components of the IS DCN were used. In the course of experimental studies, a model of a protected DCN has been built. In the experimental model, network devices and DCN IS components were emulated on virtual machines (VMs). The DCN resources were reproduced using the Proxmox VE virtualization system. IPS Suricata was deployed on RCS hosts running PVE. Splunk was used as SIEM. It has been shown that the proposed methodology for the formation of the IS system for DCN and the model of the vulnerability coefficient makes it possible to obtain a quantitative assessment of the levels of vulnerability of DCN OBI.
    Źródło:
    International Journal of Electronics and Telecommunications; 2023, 69, 3; 475--483
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-2 z 2

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