Securing SDN: Hybrid autoencoder-random forest for intrusion detection and attack mitigation

Author:

Mhamdi LotfiORCID,Isa Mohd Mat

Funder

University of Leeds

Publisher

Elsevier BV

Reference43 articles.

1. A novel machine learning framework for advanced attack detection using sdn;Abou El Houda,2021

2. Renyi joint entropy-based dynamic threshold approach to detect DDoS attacks against SDN controller with various traffic rates;Aladaileh;Appl. Sci.,2022

3. Handling intrusion and DDoS attacks in software defined networks using machine learning techniques;Ashraf,2014

4. Deep Learning Quick Reference: Useful Hacks for Training and Optimizing Deep Neural Networks with Tensorflow and Keras;Bernico,2018

5. Identifying and benchmarking key features for cyber intrusion detection: An ensemble approach;Binbusayyis;IEEE Access,2019

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