Sensor software

这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。

Easily Expandable Wireless Intrusion Detection System

A method for grouping, clustering, and merging semi-structured alerts

Download UNSW-NB15 and CIC-IDS2017 Datasets for Network Intrusion Detection (NIDS)

AEIDS is a prototype of anomaly-based intrusion detection system which works by remembering the pattern of legitimate network traffic using Autoencoder.

Tag Generation and Text Generation Inference for Network Packets using Transformers

Mass Suricata rules creator, from a list of domain

suricata-check is a command line utility to provide feedback on Suricata rules. The tool can detect various issues including those covering syntax validity, interpretability, rule specificity, rule coverage, and efficiency.

This class allows to efficiently convert bigger than memory pcap files to a labeled feature-per-byte dataset in parquet format

Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.

Mass Suricata rules creator, from a list of domain

Healthcheck packet generator for the AMPT passive network tools monitor

Management service for the AMPT passive network tools monitor

NIDS with scikit-learn

Basic NIDS including machine learning for the traffic analysis

Sensor alert monitor for the AMPT passive network tools monitor

Anomaly Based NIDS framework coded in python with Scapy and PyTorch libraries implementing OSINT tools