I do not know what I am doing yet! But it is my research!

Analysis and Visualization of network traffic from data centres based on trace.pcap file.

Sniffing network traffic with Python for real-time or PCAP analysis.

A machine learning-based system for detecting anomalies in encrypted network traffic. Supports real-time analysis, multiple detection algorithms, and insightful visualizations.

PCAP-based analysis of CryptoLocker and Word-Dropper malware samples using Wireshark and REMnux. Focus on DNS, HTTP, and TLS artifacts to identify adversary behavior and exfiltration attempts.

Demonstrating a man-in-the-middle (MITM) attack using ARP spoofing on three Kali Linux VMs in VirtualBox. The attacker (Kali 1) intercepts ping traffic between two victims (Kali 2 and Kali 3) with Ettercap, captures it with Wireshark, and analyzes the PCAP to verify redirection.

A lightweight packet analyzer tool featuring a user-friendly GUI interface using Npcap and wxWidgets.

GREP for PCAP files

A real-time network intrusion detection system with GUI built using Python, Flet, and Scapy. Features advanced threat detection including ICMP/DNS tunneling, protocol anomalies, blacklisted entities, and suspicious traffic patterns. Supports live packet capture and PCAP file analysis with interactive filtering and flow visualization.

Blue Team CTF: Recovered deleted security footage from a .pcap file using Wireshark, Python, and FFmpeg. Demonstrates real-world forensic skills in network packet analysis, MJPEG stream extraction, and flag hunting. Challenge from TryHackMe's “Security Footage” room.

IP statistics from PCAP files

Análisis de tráfico de red usando Wireshark y K-means en Python. Clasificación de paquetes en clusters y generación de informes automatizados.

Summary: complete a network vulnerability assessment and provide a summary of your findings.

A command-line companion for in-depth network traffic analysis, enabling security insights and statistical overview from PCAP files.