cicflowmeter

This is a Python version of CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) - an Ethernet traffic Bi-flow generator and analyzer for anomaly detection.

A Zeek script to generate features based on timing, volume and metadata for traffic classification.

These scripts conduct TCPDUMP in harmony with CICFlowMeter to operation real-time traffic capturing and converting in csv file.

An intrusion detection system (IDS) based on machine learning technique, specifically the anomaly detection algorithm.

A java application that loads 3 csv files obtained from ntopng, CICFlowmeter, and nDPI. It compares the flows statistics obtained from pcap files with CICFlowmeter and ntopng and once a match is found that flow is labeled with the Layer 7 protocol obtained with the nDPI library within ntopng. The application delivers a csv file with all the flow…

A web application for botnet detection using Machine Learning - XGBoost, from the csv file containing network packet flows, captured using CICFlowMeter Tool.

A Machine Learning-based Intrusion Detection System using CICFlowMeter for feature extraction. Supports real-time and historical detection of network intrusions with comprehensive model training and evaluation tools.

🪲 Application of machine learning and deep learning algorithms for malware detection based on NetFlow traffic analysis

Intrusion Detection System is a Python‑based tool that uses machine learning to detect real‑time network threats with a live Flask dashboard.

Open-source ML network-flow detector that turns CICFlowMeter traffic into deterministic analyst-facing security incidents. CLI + Docker.

Darknet flow feature extraction tool built in Rust using eBPF.

Lightweight encrypted session abstraction with X25519 handshake and AES-GCM encryption. Pluggable transport and generic addressing. Designed for secure peer-to-peer and embedded communication.

Real-time CICFlowMeter-like flow feature extractor built with Python PyShark. Extracts 97+ Real-time network flow feature extractor inspired by CICFlowMeter. Extracts 97+ flow features including transport and application-layer metrics from live traffic and exports them to CSV in real time.

A real-time network traffic analysis and intrusion detection tool built in Go. Captures live packets or reads PCAP files, extracts 83 CICFlowMeter-compliant flow features, classifies flows via a remote ML prediction API, and presents results through an interactive terminal dashboard.

CICFlowMeter (V2) - A tool for converting PCAP data into CSV format.

SecureStream is a network security project that employs machine learning and real-time traffic monitoring to detect anomalies in network data. Powered by the CSE-CIC-IDS2018 dataset and cicflowmeter, it enables swift identification of potential threats, enhancing overall network security.

Command-line version of CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is a network traffic Bi-flow generator and analyzer for anomaly detection. For automate packet-to-csv conversion system, https://github.com/iPAS/TCPDUMP_and_CICFlowMeter

Get the juicy stats from your network flows, Pythonically.

Addressing Class Imbalance in CIC-IDS-18. Improve intrusion detection accuracy and reduce false alarms by tackling class imbalance. Utilizing artificial oversampling techniques and comparing their efficacy with deep neural network algorithms.Tech: Python, Jupyter-Notebook, Scik