dos-detection

Python SOC detection pipeline for identifying rate anomalies and DoS indicators from HTTP and TCP telemetry.

ML-based DoS/DDoS detection using Random Forest with real-time GUI and auto iptables IP blocking | Python · ML · Network Security

Secure P2P messaging prototype: E2E (ECDH+AES-GCM), DoS detection, injection prevention

Hybrid Python/C network intrusion detection & prevention system (NIDS/NIPS): multi-threaded L3–L7 analysis, memory-safe C signature engine, time-limited IP blocking, and a Docker observability stack (Grafana, Loki, Promtail) provisioned as code.

Protocol Based Deep Intrusion Detection (PB-DID): stacked-LSTM classifier for Normal/DoS/DDoS network traffic on UNSW-NB15 + Bot-IoT, with a Flask analysis dashboard. B.Tech major project.

Random Forest classifier detecting DoS attacks (GoldenEye, Slowloris) on CIC-IDS2017 network traffic — 99.99% accuracy with SMOTE balancing

Real-time Denial-of-Service (DoS) detection system and traffic analysis engine. Built with Python and Scapy, featuring multi-vector alerting and an interactive forensic dashboard.

This mini-lab demonstrates my ability to work with Wireshark and Docker in a controlled environment. It includes network traffic captures, automated analysis scripts, and visualizations showing ARP anomalies and traffic spikes. A concise portfolio project showcasing practical skills in network monitoring and basic attack detection.

Python-based intelligent firewall with Intrusion Detection System (IDS), DoS detection, port scan detection, brute-force protection, real-time packet monitoring, and Flask dashboard.

🛡️ A full-stack, pure-software real-time network monitoring and threat detection system with packet sniffing, bandwidth telemetry, and instant attack analytics over WebSockets and MongoDB.