Download UNSW-NB15 and CIC-IDS2017 Datasets for Network Intrusion Detection (NIDS)
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Aug 2, 2023 - Python
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cic-ids-2017
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En este proyecto se evalúan y comparan diferentes técnicas de aprendizaje automático para la detección de intrusiones en red.
data-science machine-learning ids data-preprocessing nids network-intrusion-detection anomaly-detection signature-detection cic-ids-2018 cic-ids-2017 cse-cic-ids-2018 hybrid-detection
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Nov 1, 2022 - Jupyter Notebook
A network Intrusion Detection System (IDS) based on Self-Organizing Neural Networks (SOINN).
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Sep 29, 2021 - Jupyter Notebook
Enhancing NIDS through innovative noise techniques and data strategies.
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Sep 8, 2024 - Python
3-layer hybrid ML pipeline for network intrusion detection - Deep Autoencoder anomaly gate, LightGBM binary classifier, and Stacking ensemble trained on CIC-IDS-2017.
python machine-learning deep-learning tensorflow scikit-learn feature-selection cybersecurity classification ids intrusion-detection lightgbm ensemble-learning nids network-security anomaly-detection traffic-classification optuna cic-ids-2017
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Apr 4, 2026 - Python
Project for Data Literacy and AI (Semester 2 24/25) implementing PPDAC cycle and exploratory data analysis (EDA) to CIC-IDS2017 Dataset.
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Jun 15, 2025 - Python
DDoS-Vision: A Deep Learning approach to network security. Converts numerical CIC-IDS2017 traffic flows into 2D grayscale images for CNN classification. Features Grad-CAM for Explainable AI (XAI) and 99% detection accuracy.
python computer-vision deep-learning tensorflow grad-cam cnn data-visualization cybersecurity ddos-detection network-security intrusion-detection-system explainable-ai cic-ids-2017 security-ai
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Mar 7, 2026 - Python
Machine learning for network intrusion detection using CIC-IDS-2017 benchmark dataset
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Mar 4, 2026 - Python
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