Network Attack Simulations for Training

Project Description

An platform to simulate and analyze network attacks in a controlled environment for cybersecurity training. lets you explore real-world network attack scenarios—like ARP spoofing, DDoS, and more in a safe environment. Whether you're a student or a professional, learn practical cybersecurity skills with our hands-on simulations. The project uses Docker containers to act as separate attacker and victim systems. Python and Scapy are used to code custom attacks that are scripted and executed against the victim container. At the same time, Snort is deployed to monitor the network and detect malicious activity.