Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms

Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms

Abstract The Distributed Denial of Service (DDoS) attack is uncontrollable and appears in different patterns and shapes; accordingly, it is not easily detected and solved with preceding solutions. A DDoS attack is the most serious threat on the Internet. These attacks became a preferred weapon for c...

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Bibliographic Details
Main Authors: S. Jayanthi, Swathi Sowmya Bavirthi, P. Murali, K. Vijaya Kumar, Hend Khalid Alkahtani, Mohamad Khairi Ishak, Samih M. Mostafa
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Cybersecurity
Resource exhaustion attack
Hybrid deep learning
Metaheuristic optimizer algorithms
DDoS
Online Access:https://doi.org/10.1038/s41598-025-13305-8
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https://doi.org/10.1038/s41598-025-13305-8

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