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ADAMOU DJERGOU Abass's Projects

djergou icon djergou

Config files for my GitHub profile.

ids-on-sdn-using-machine-learning icon ids-on-sdn-using-machine-learning

Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and flow statistics.

intrusing-detection-system-attack icon intrusing-detection-system-attack

Using Wasserstein Generative Adversarial Network to fool intrusion detection systems (IDS) into believing that malicious traffic is normal traffic.

mafdet icon mafdet

System that aims to detect and mitigate DDoS attacks using Machine Learning techniques & SDN.

nids-intrusion-detection icon nids-intrusion-detection

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

project icon project

DDoS attacks detection by using SVM on SDN networks.

sdn_ddos_simulation icon sdn_ddos_simulation

An attempt to detect and prevent DDoS attacks using reinforcement learning. The simulation was done using Mininet.

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