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 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.

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

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

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.

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