Intelligent Resource Allocation for Modern Cyber Defense

Authors

  • Mohamed Hmadi Department of Computer Science, Faculty of Science, Azzaytuna University, Tarhuna, Libya Author
  • Mouemer Elhjmelad Elriheemi Department of Computer Science, Faculty of Science, Azzaytuna University, Tarhuna, Libya Author

DOI:

https://doi.org/10.64943/ajhas.2026.020248

Keywords:

Distributed denial of service (DDoS) attack, network traffic databases, firewall rules, cybersecurity

Abstract

This paper conclusively demonstrates a strong correlation between the number of packets captured and the available bandwidth, supporting the theory that network performance to direct impacts of the attacks. From the data gathered, the most significant attack types were network scanning, packet retransmission, and leakage of information. Furthermore, security measures were proposed including, but not limited to, removal of outdated firewall configurations, increased scrutiny on processes, and the tightening of monitored traffic filters. There was also a proposal made on the ability to assess risk priority and trigger intrusion detection systems automatically. These findings prove that relying solely on behavioral analysis is insufficient; adding real-time supervision significantly improves the cybersecurity posture and uninterrupted service availability of multifaceted networks.

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Published

2026-08-28

Issue

Section

Articles

How to Cite

Mohamed Hmadi, & Mouemer Elhjmelad Elriheemi. (2026). Intelligent Resource Allocation for Modern Cyber Defense. Al-Imad Journal of Humanities and Applied Sciences (AJHAS), 2(2), 673-679. https://doi.org/10.64943/ajhas.2026.020248

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