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robust-ids-against-ddos

@benjaminakyenby Benjamin Akyen · INNETWORK Technology Limited

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This project aims to enhance the robustness of neural network-based intrusion detection systems (IDS) against distributed denial of service (DDoS) attacks using adversarial techniques such as FGSM, PGD, and BIM. The study utilises the CICIDS2017 dataset, simulating real-world network traffic with normal and malicious activity.

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