Deep Learning

Deep learning applied to the UNR-IDD network intrusion detection dataset, with full report and recorded presentation

Deep learning course project applying neural network architectures to the UNR-IDD intrusion detection dataset, which ships with the repository so the notebook runs end to end.

The docs/ folder includes both the slide deck and the recorded presentation walking through the approach and results.

Repository layout

code/    source code, notebooks and datasets
docs/    reports, papers, slide decks and recordings

Contents

Code

• Group23_Project.ipynb -- 1.2 MB
• UNR_IDD_dataset.zip -- 132 KB

Documentation

• Group23_Presentation.mp4 -- 62.8 MB
• Group23_Presentation.pptx -- 1.5 MB

Topics

deep-learning · neural-networks · tensorflow · pytorch · intrusion-detection · classification

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Part of my AI and Data Science portfolio. Work produced during my M.Eng. in AI and Data Science at the University of Ottawa and my B.Sc. in Computer Science.

Hosam Mahmoud Ibrahim · GitHub · LinkedIn · Portfolio