Detection of DDoS attacks using supervised ML and deep learning approaches for SDN

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Grid and Utility Computing
Published
2025-01-01
DOI
https://doi.org/10.1504/ijguc.2025.10070364
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Detection of DDoS attacks using supervised ML and deep learning approaches for SDN

Priyanka Kujur, Sanjeev Patel
International Journal of Grid and Utility Computing
Network Security and Intrusion Detection
article

Detection of DDoS attacks using supervised ML and deep learning approaches for SDN

Priyanka Kujur, Sanjeev Patel
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Grid and Utility ComputingVol. 1(1)
Openalex Percentile: Top 94%
Network Security and Intrusion Detection
DOISourceOpenAlex
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Detection of DDoS attacks using supervised ML and deep learning approaches for SDN — Priyanka Kujur, Sanjeev Patel · International Journal of Grid and Utility Computing (2025) | TGRS Research Map | TGRS