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

Sending icmp ping with a spoofed IP using unix raw socket

DDOS attack detection and mitigation in SDN using ML algo

A bunch of scripts and files that describe topology creation, the topologies, the testing data, real-time graph rendering, table creation and chart creation.

Network Programming Course Project @ BITS Pilani. Video Streaming application using MPTCP and MPQuic Protocols

OS3E topology code for SDN simulator mininet

Solutions for Mininet - OpenFlow Tutorials

A python based data center topology. The project aims to present a comprehensive analysis of the Fat tree topology's performance using Mininet simulator.

Custom topologies written for mininet emulator

POX Controller for complex fat tree (clos network) topologies of 2-3 levels using SDN and Mininet

This project demonstrates a SDN-based firewall implemented using the Ryu controller and Mininet. The firewall blocks traffic based on specific IP addresses, ports, and protocols (such as ICMP). It also logs dropped packets for auditing purposes.

SDN Control Benchmarking

File Transfer Protocol using UDP forintermittent connectivity scenarios powered using Python and Secure shell

Computer Networks Assignments

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.

Created my own topology to set up static routing. Also implemented an "application" layer routing protocol which implements distance vector routing using Bellman-Ford algorithm.

Dijkstra based routing in a random topology with random link delay in mininet

This project integrates SDN and NFV to enable real-time edge computing. It uses the Ryu SDN controller for traffic management and Docker for deploying firewalls and load balancers dynamically. Ideal for edge networks, it provides scalable solutions for traffic optimization and cybersecurity in 5G and IoT environments

Demonstrating an intelligent, adaptive load balancing system built on Software-Defined Networking (SDN) principles. The system uses a centralized Ryu controller to dynamically manage network traffic based on the real-time CPU load of backend application servers, complete with a live web-based monitoring dashboard.

Works developed in the discipline of distributed systems