Constructing the mathematical model of a recommender system for decentralized peer-to-peer computer networks

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.286187

Keywords:

recommender system, decentralized computer network, peer-to-peer network, GERT network, information security

Abstract

Recommender systems make it easier to search with a large amount of content, supplementing or replacing the classic search output with recommendations. In P2P networks, their use can have additional benefits. Because of indexing and search problems, previously added files may not be available to P2P network users. If the user cannot find the file he is looking for, one can provide him with a list of recommendations based on his preferences and search query.

The object of research is the process of creating recommendations for users of decentralized P2P networks to facilitate data search.

The urgent task of increasing the accuracy of mathematical modeling of recommender systems by taking into account the requirements for reliability and data security during changes in the structure of a decentralized P2P network is solved.

An analytical model of the recommender system of a decentralized P2P network has been developed, the main feature of which is taking into account the requirements of reliability and security of recommendation messages. This was done by introducing the following indicators into the general model of the decentralized recommender system – the probability of reliable packet transmission and the probability of safe packet transmission. The developed analytical model makes it possible to conduct a comparative analysis of different methods of operation of recommender systems and to set acceptable parameters under which the degree of relevance does not fall below a certain threshold.

The developed mathematical model of the system based on the GERT scheme differs from the known ones by taking into account the reliability and security requirements during changes in the structure of the decentralized P2P network. This has made it possible to improve the accuracy of simulation results up to 5 %.

The proposed mathematical model could be used for prototyping recommender systems in various fields of activity

Author Biographies

Volodymyr Mikhav, Central Ukrainian National Technical University

Postgraduate Student

Department of Cybersecurity and Software

Serhii Semenov, Pedagogical University of Krakow

Doctor of Technical Sciences, Professor

Institute of Security and Computer Science

Yelyzaveta Meleshko, Central Ukrainian National Technical University

Doctor of Technical Sciences, Professor

Department of Cybersecurity and Software

Mykola Yakymenko, Central Ukrainian National Technical University

PhD, Associate Professor

Department of Higher Mathematics and Physics

Yaroslav Shulika, Central Ukrainian National Technical University

Postgraduate Student

Department of Cybersecurity and Software

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Constructng the mathematical model of a recommender system for decentralized peer-to-peer computer networks

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Published

2023-08-31

How to Cite

Mikhav, V., Semenov, S., Meleshko, Y., Yakymenko, M., & Shulika, Y. (2023). Constructing the mathematical model of a recommender system for decentralized peer-to-peer computer networks. Eastern-European Journal of Enterprise Technologies, 4(9 (124), 24–35. https://doi.org/10.15587/1729-4061.2023.286187

Issue

Vol. 4 No. 9 (124) (2023): Information and controlling system

Section

Information and controlling system

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Copyright (c) 2023 Volodymyr Mikhav, Serhii Semenov, Yelyzaveta Meleshko, Mykola Yakymenko, Yaroslav Shulika

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