nepiskopos/simple_ids_with_tff
Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the TensorFlow Federated framework.
This project helps cybersecurity analysts and IT managers detect network intrusions more effectively while maintaining data privacy. It takes network traffic data from various sources without centralizing it, and outputs an improved intrusion detection system. This tool is designed for cybersecurity professionals and security operations teams concerned with data locality and privacy.
No commits in the last 6 months.
Use this if you need to train an intrusion detection system using sensitive network data spread across multiple locations, without moving that data to a central server.
Not ideal if you have all your network traffic data centralized and don't have privacy concerns about combining it for training.
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Last pushed
Nov 24, 2022
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