Skip to content

DDoS Defend Matrix is ​​a Project Based Learning (PBL) that applies Security Scripts with Data Structure Algorithms to Simulate DDOS Attacks on GNS3

Notifications You must be signed in to change notification settings

earthwrld/PBL-RKS213-DDoS-Defend-Matrix

Repository files navigation

PBL-RKS213-DDoS-Defend-Matrix

pptdepan

Overview

The DDoS Defend Matrix project is designed to develop a robust defense system against Distributed Denial of Service (DDoS) attacks using cutting-edge technologies. The system combines various mitigation techniques such as filtering, rate limiting, and traffic analysis to effectively detect and counteract DDoS attacks. This project aims to enhance network security, ensure service availability, and minimize the impact of DDoS attacks on IT infrastructure.

Features

  • Advanced Detection: Utilizes traffic analysis to identify potential DDoS attacks.
  • Mitigation Techniques: Implements filtering and rate limiting to control and manage traffic during an attack.
  • Simulation: Includes DDoS attack simulations to test and refine the system's effectiveness.
  • Real-time Monitoring: Provides real-time insights and alerts on network security status.

Screenshot 2024-07-04 114634

please read the manual book for more detail about this project

About

DDoS Defend Matrix is ​​a Project Based Learning (PBL) that applies Security Scripts with Data Structure Algorithms to Simulate DDOS Attacks on GNS3

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published