SDN networks (Software Defined Networking ) are exposed to new security threats and attacks, especially Distributed Denial of Service (DDoS) attacks. For this aim, we have proposed a model able to detect and mitigate attacks automatically in SDN networks using Machine Learning (ML)

MininetIDS is an integrated environment for developing and evaluating Machine Learning-based Intrusion Detection Systems in Software-Defined Networks. It combines Mininet for network emulation and Ryu for SDN control, enabling advanced IDS research and deployment.

A Research Project in which SDN DDos Attack dataset is being generated in SDN enviroment for machine leanring purpose.

An Enhanced Non-dominated Sorting Genetic Algorithm II-based Dynamic multi-objective QoS routing in Software-Defined Networks

Simple network monitor for ryu controller

This is my study on detection and mitigation DDoS attacks in SDN

An SDN application that gives a network administrator, or a student, the ability to control flows in an OpenFlow network without coding.

Systematic Application Layer that Allows Network Monitoring and Firewall Rules for Ryu-based SDN Environments.

Final project of "Software Defined Networking" course at Polytechnic University of Milan.

A prototype for an architecture that uses Machine Learning to detect abnormalities in the SDN network packet flow, built by Ryu SDN and mininet

Implementation of a Software Defined Perimeter in Ryu SDN Framework

DDOS Mitigation System based on Ryu SDN Controller with Port Blocking Mechanism

This is my master's thesis project: "QoS implementation in Software Defined Network using Ryu Controller"

routing-implementation in SDN based on switch processing delay and remaining bandwidth

This course is designed to train the hands-on capabilities for solving networking problems. In this course, you will learn basic network management tools and use them to solve practical problems.

PhD Coursework: 21CS637 - Advanced Networks

This repository contains the assignments of course "ITCS 8166: Computer Comm & Networks". This course has been taken in Spring 2021 semester, as part of my PhD degree at UNC Charlotte.

This project is created using Ryu controller which performs DIJKSTRA algorithm to find best paths, based on traffic flowing through links.

Applying Machine Learning model (SVM) into DDoS attack detection in SDN.

Multipath routing