web-attack

FLNET2023 is a dataset designed for intrusion detection in Federated Learning scenarios. It's built using the CORE emulator, simulating a realistic network with varied traffic and attacks. It serves as a benchmark for research in federated learning-based intrusion detection.

ddos dos intrusion-detection web-attack fl-ids-dataset infiltration-attack

Updated Aug 9, 2023

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web-attack

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Z4nzu / hackingtool

bl4ck44 / Toolkit

revanmalang / Hack-Tool

1RaY-1 / onex

nsol-nmsu / FML-Network

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