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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

  • Updated Dec 7, 2024
  • C++

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.

  • Updated Dec 8, 2025
  • C++

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.

  • Updated Sep 2, 2025
  • C++

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