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.

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

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.

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

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

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.

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.

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.

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.

Get the juicy stats from your network flows, Pythonically.

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

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

A Research Project in which SDN DDos Attack dataset is being generated in SDN enviroment for machine leanring purpose.