A Novel Approach for distributed denial of service defense using continuous wavelet transform and convolutional neural network for software-Defined network-Reference-Cited by-同舟云学术

A Novel Approach for distributed denial of service defense using continuous wavelet transform and convolutional neural network for software-Defined network

Published:2022-01 Issue: Volume:112 Page:102524
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Fouladi Ramin Fadaei^ORCID,Ermiş Orhan,Anarim Emin

Funder

TÜBİTAK

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference46 articles.

1. A hybrid entropy-based dos attacks detection system for software defined networks (SDN): a proposed trust mechanism;AbdelAzim;Egyptian Informatics Journal,2020

2. State-of-the-art in artificial neural network applications: a survey;Abiodun;Heliyon,2018

3. Entropy based DDos detection and mitigation in openflow enabled SDN;Ahalawat,2019

4. A signal analysis of network traffic anomalies;Barford,2002

5. Deep learning essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling;Bhardwaj,2018

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