ids

IDS based on Machine Learning technical

A simple library to integrate IDS cameras into OpenCV

ESP32 Wireless Intrusion Detection eXperiment

iDS uEye camera C++ wrapper with dead simple (but limited) interface - high performance asynchronous concurrent image capture with zero-copy

Network Intrusion Detection System

Napatech packet source plugin for Bro

A Rubik's Cube solver implementation with optimal algorithms (e.g. DLS, IDS) in C++ ❓

NetSentinel is a defensive, terminal-first Intrusion Detection System built in modern C++17. It analyzes live network packets or simulated network events, detects suspicious behavior, prints color-coded alerts directly in the terminal, and stores local event and alert logs for later review.

Projects created during my studies at FIT BUT

An intrusion detection system (IDS) is designed to monitor network traffic and detect potential threats.

Intrusion Detection System that monitors network traffic in real-time to detect and prevent malicious activities, including Distributed Denial of Service (DDoS) attacks. By analyzing packet data using predefined rules, Snort can identify suspicious patterns, generate alerts, and help network administrators respond quickly to threats

AI-Powered Cybersecurity Monitoring System — a comprehensive, real-time intrusion detection, prevention, and log analytics platform built entirely in C++ using Object-Oriented Programming principles.

Repositorio para materia Temas Selectos de Electrónica e Instrumentación I (Sistemas Embebidos en nube AWS) e Introducción a IoT

🛡️ Real-time Network Intrusion Detection System with a modern web dashboard — built in C++ with libpcap, featuring SYN flood/port scan detection, custom rules engine, PCAP replay, and interactive analytics

your network guardian

This thesis presents a performance assessment of a Siamese Neural Network (SNN)-based IDS deployed on tiny Microcontroller Unit (MCU). To evaluate the SNN’s ability to learn similarity metrics for detecting anomalous traffic patterns indicative of IoT-edge attacks, a realistic IoT dataset has been produced.

Unmanarc's Auditd Analyzer

High-performance C++17 engine for real-time, stateful log anomaly detection. Uses a multi-tiered system combining heuristics, statistical Z-scores, and ONNX machine learning to find threats. Features flexible alerting (JSON, Syslog, HTTP) and live configuration reloading for operational maturity.

C++ platform for real-time network traffic monitoring and anomaly detection. NetSentry-Core leverages efficient data handling and pattern analysis techniques to identify suspicious behaviors, detect intrusions, and ensure secure, stable network operations. Designed with modularity, scalability, and extensibility in mind.