Journal Article: International Journal of Information Technology
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Jun 27, 2023 - Jupyter Notebook
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cicids-2017
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Hybrid NIDS combining unsupervised autoencoders (Feedforward, Denoising, Convolutional) with a PPO reinforcement learning agent trained on 2.8M+ CICIDS-2017 flows. Achieves ~92% F1-score with cost-sensitive reward shaping prioritizing attack recall.
reinforcement-learning deep-learning tensorflow pytorch cybersecurity autoencoders gymnasium network-intrusion-detection anomaly-detection stable-baselines3 ppo-algorithm cicids-2017
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Apr 26, 2026 - Jupyter Notebook
Intrusion Detection with ML: CICIDS-2017 → Preprocessing → XGBoost → PCA → Real-Time Power BI Dashboards
machine-learning data-engineering xgboost pca intrusion-detection data-analysis powerbi real-time-analytics network-traffic-analysis cicids-2017
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Sep 30, 2025 - Jupyter Notebook
AI-powered network intrusion detection using Random Forest + Isolation Forest on CICIDS-2017
python machine-learning random-forest cybersecurity soc anomaly-detection threat-detection instruction-detection-system cicids-2017
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Apr 10, 2026 - Python
This research proposes a hybrid approach using Principal Component Analysis (PCA) for dimensionality reduction and Support Vector Machines (SVM) for classification. The goal is to optimize the trade-off between detection accuracy and computational efficiency, making real-time detection feasible on resource-constrained environments.
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Dec 30, 2025 - Python
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