System-Object Modeling of Knowledge about the Structure and States of a Computer Network

Alexander G. Zhikharev; Жихарев Александр Геннадиевич

doi:10.14357/20718594240102

System-Object Modeling of Knowledge about the Structure and States of a Computer Network

Authors: Zhikharev A.G.¹
Affiliations:
1. V. G. Shukhov Belgorod State Technological University
Issue: No 1 (2024)
Pages: 20-25
Section: Knowledge Representation
URL: https://journals.rcsi.science/2071-8594/article/view/269771
DOI: https://doi.org/10.14357/20718594240102
EDN: https://elibrary.ru/JNKCID
ID: 269771

Cite item

Abstract

The paper examines the expressive and formal capabilities of the theory of system-object modeling for describing knowledge about the structure, functioning and states of a computer network. Methods for describing distributed information systems using systems calculus as functional objects are considered. The limitations of using the alphabet of elementary node objects are presented. A mechanism for describing the states of a computer network node is proposed.

Keywords

system-object model, computer network, distributed information system, node object, flow object, state of a computer network node, network traffic, cyber attack

Full Text

About the authors

Alexander G. Zhikharev

V. G. Shukhov Belgorod State Technological University

Author for correspondence.
Email: zhikharev@bsu.edu.ru

Doctor of Technical Sciences, docent. Professor of the Department of Software for Computer Technology and Automated Systems

Russian Federation, Belgorod

References

Kruk B.I. Telekommunikacionnye sistemy i seti. Uch. posobie v 3-h tomah. Tom 1 [Telecommunication systems and networks. Study guide in 3 volumes. Volume 1]. Moscow: GLT, 2012.
Klyuchevye tendencii kiberatak 2015 goda po versii Positive Technologies [Key trends in cyber attacks in 2015 according to Positive Technologies] // Electronic resource. URL: https://www.securitylab.ru/news/476333.php (accessed 09.10.2023).
Kiberbezopasnost' 2016−2017: ot itogov k prognozam [Cybersecurity 2016−2017: from results to forecasts] // Electronic resource. URL: https://www.ptsecurity.com/ru- ru/about/press/events/163208/ (accessed 09.10.2023).
Aktual'nye kiberugrozy: IV kvartal 2020 goda [Current cyber threats: Q4 2020] // Electronic resource. URL: https://www.ptsecurity.com/ruru/research/analytics/cybersecurity-threatscape-2020-q4/ (accessed 14.10.2023).
Uyazvimosti korporativnyh informacionnyh sistem, 2019 [Vulnerabilities of corporate information systems, 2019] // Electronic resource. URL: https://www.ptsecurity.com/ru- ru/research/analytics/corporate-vulnerabilities-2019/ (accessed 14.10.2023).
Godovoj otchet po informacionnoj bezopasnosti, Cisco 2018 [Annual Information Security Report, Cisco 2018] // Electronic resource. URL: https://www.cisco.com/c/ru_ru/index.html (accessed 14.10.2023).
Olifer V.G., Olifer N.A. Komp'yuternye seti. Principy, tekhnologii, protokoly: Uchebnik dlya vuzov, 4-e izd [Computer networks. Principles, technologies, protocols: Textbook for universities, 4th ed]. St. Petersburg: Piter, 2010.
Tanenbaum E., Uezeroll D. Komp'yuternye seti, 5-e izd [Computer Networks, 5th ed]. St. Petersburg: Piter, 2012.
Matorin S.I., Zhiharev A.G., Zimovec O.A., Tubol'cev M.F., Kondratenko A.A. Teoriya sistem i sistemnyj analiz [Systems theory and systems analysis] Moscow: KNORUS, 2021.
Buhanov D.G., Polyakov V.M. Organizaciya bezopasnoj peredachi dannyh v mnogoagentnyh sistemah kontrolya i diagnostirovaniya informacionno–tekhnologicheskih setej [Organization of secure data transmission in multi-agent systems for monitoring and diagnosing information technology networks[ // Trudy Instituta sistemnogo analiza RAN [Proceedings of the Institute of System Analysis of the Russian Academy of Sciences]. 2015. V. 65. No 4. C. 20–25.
Zhiharev A.G. Sistemno-ob"ektnyj podhod k modelirovaniyu organizacionnyh znanij, uchityvayushchij obshchesistemnye zakonomernosti [System-object approach to modeling organizational knowledge, taking into account system-wide patterns] // Iskusstvennyj intellekt i prinyatie reshenij [Artificial Intelligence and Decision Making]. 2021. No 3. P. 33-44.
Matorin S.I., Zhiharev A.G. Sistemno-ob"ektnyj podhod kak osnova obshchej teorii system [System-object approach as the basis of general systems theory] // Nauchnye vedomosti BelGU. Ser. Ekonomika. Informatika [Scientific bulletins of BSU. Ser. Economy. Computer science]. 2019. V. 46. No 4. P. 717-730.