ENSURING NETWORK SECURITY: IMPLEMENTATION OF DEVICES AND SYSTEMS TO ENHANCE THE NETWORK INFRASTRUCTURE PROTECTION

Authors

  • Andrii LEMESHKO Taras Shevchenko National University of Kyiv image/svg+xml Author
  • Olha TKACHENKO Taras Shevchenko National University of Kyiv image/svg+xml Author

DOI:

https://doi.org/10.17721/3041-2323.2024.214-225

Keywords:

network, topology, hierarchical model, architecture, firewall, security systems

Abstract

This paper explores modern approaches to ensuring network security, particularly in the context of the local area network of the enterprise LLC. It analyzes the advantages and disadvantages of various security devices and architectures, as well as their impact on protecting information systems from cyber threats. Using the Cisco Packet Tracer network infrastructures modeled to evaluate the effectiveness of integrating firewalls, IDS/IPS systems and VPN connections. The concepts of Zero Trust and network segmentation discussed.

References

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Li, J., Sun, L., Wang, Q., Wang, Z., & Liu, Y. (2019). Deep learning for network security intrusion detection: Reviews, challenges, and solutions. IEEE Access, 7, 10113–10165. https://doi.org/10.1109/ACCESS.2019.2895334

Pryimak, Y. O., Zaitsev, Y. O., Lemeshko, A. V., & Antonenko, A. V. (2024). Research on optimization of data processing in government information systems using artificial intelligence. ITSynergy, 1, 6–15 [in Ukrainian]. https://doi.org/10.53920/ITS-2024-1-1

Tkachenko, O. M., & Sosnovyi, V. O. (2022). A model for predicting network security using neural networks. ITSynergy, 2, 43–54 [in Ukrainian]. https://doi.org/10.53920/ITS-2022-2-4

Title

Published

01.10.2024