A Robust DDoS Intrusion Detection System Using Convolutional Neural Network-Reference-Cited by-同舟云学术

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A Robust DDoS Intrusion Detection System Using Convolutional Neural Network

Published:2024-07 Issue: Volume:117 Page:109277
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Najar Ashfaq Ahmad^ORCID,S. Manohar Naik

Publisher

Elsevier BV

Reference25 articles.

1. On improving the performance of DDoS attack detection system;Batchu;Microprocess Microsyst,2022

2. A deep learning ensemble approach to detecting unknown network attacks;Ahmad;J Inf Secur Appl,2022

3. An integrated approach explaining the detection of distributed denial of service attacks;Batchu;Comput Netw,2022

4. Cyber-secure SDN: A CNN-based approach for efficient detection and mitigation of DDoS attacks;Najar;Comput Secur,2024

5. AE-MLP: A hybrid deep learning approach for DDoS detection and classification;Wei;IEEE Access,2021

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