[HTML][HTML] Advancements in detecting, preventing, and mitigating DDoS attacks in cloud environments: A comprehensive systematic review of state-of-the-art …
M Ouhssini, K Afdel, M Akouhar, E Agherrabi… - Egyptian Informatics …, 2024 - Elsevier
This comprehensive study examines cutting-edge strategies for combating Distributed
Denial of Service (DDoS) attacks in cloud environments, addressing a critical gap in recent …
Denial of Service (DDoS) attacks in cloud environments, addressing a critical gap in recent …
A novel optimization-driven deep learning framework for the detection of DDoS attacks
Distributed denial of service (DDoS) attack is one of the most hazardous assaults in cloud
computing or networking. By depleting resources, this attack renders the services …
computing or networking. By depleting resources, this attack renders the services …
AEJaya+ DE: A Hybrid Feature Selection Methodfor Machine Learning-Based Network IntrusionDetection on Cybersecurity Datasets
FO Albasheer, E Kalaimannan, M Agarwal - 2024 - researchsquare.com
The exponential growth of network traffic in recent years has intensified the need for robust
and sustainable security measures. Intrusion Detection Systems (IDS) play a crucial role in …
and sustainable security measures. Intrusion Detection Systems (IDS) play a crucial role in …
[PDF][PDF] Egyptian Informatics Journal
This comprehensive study examines cutting-edge strategies for combating Distributed
Denial of Service (DDoS) attacks in cloud environments, addressing a critical gap in recent …
Denial of Service (DDoS) attacks in cloud environments, addressing a critical gap in recent …