Vulnerability Assessment and Penetration Testing of Odlar Yurdu University Network

Авторы

  • Mazahim Guliyev
  • Khalil Ismayilov
  • Amin Hasanov
  • Vusale Hasanova

DOI:

https://doi.org/10.65806/3106-5740.2025.1.11

Ключевые слова:

Vulnerability Clustering Methods, Machine Learning, Network Security, Algorithm, Penetration Testing Monitoring

Аннотация

Recent research in network management and enhancing network security efficiency has seen widespread use of traffic classification and clustering. The increasing use of the Internet and the development of protocols and applications have also made research in the field of traffic classification highly relevant. Vulnerability assessments and penetration testing determine the security posture of modern information networks. By assessing university network vulnerabilities and attempting to exploit found vulnerabilities through penetration testing, security specialists can evaluate the effectiveness of their network defences by identifying defence weaknesses and affirming the defence mechanisms in place. 

Copyright (c) 2025 International Journal of Information Technologies and Innovative Economy · CC BY 4.0

Опубликован

8 ноября 2025

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Articles