uamughal/Machine-Learning-Based-Intrusion-Detection-System
This repository contains the code for paper, ''Machine Learning-Based Intrusion Detection for Swarm of Unmanned Aerial Vehicles"
This project helps operations engineers and security analysts monitor drone swarms for cyber-attacks. It takes sensor data (both cyber and physical) from UAVs and identifies various threats like false data injection or denial-of-service. The output is an alert or classification of an ongoing attack, enabling rapid response to protect critical drone missions.
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Use this if you manage or secure operations involving swarms of drones and need to detect cyber-attacks impacting their performance or safety.
Not ideal if your focus is on traditional network security for ground-based systems or single UAV operations.
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Python
License
MIT
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Last pushed
Feb 02, 2024
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