A novel optimization-driven deep learning framework for the detection of DDoS attacks

A novel optimization-driven deep learning framework for the detection of DDoS attacks

Abstract 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 unavailable to end users and leads to significant financial and reputational damage. Hence, identifying such threats i...

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Bibliographic Details
Main Authors: Raj Kumar Batchu, Thulasi Bikku, Srinivasarao Thota, Hari Seetha, Abayomi Ayotunde Ayoade
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
DDoS
Auto encoder
CGAN
Firefly
Black widow
Intrusion detection
Online Access:https://doi.org/10.1038/s41598-024-77554-9

Internet

https://doi.org/10.1038/s41598-024-77554-9

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