Western-OC2-Lab / Intrusion-Detection-System-Using-CNN-and-Transfer-Learning
Code for intrusion detection system (IDS) development using CNN models and transfer learning
Why this job: works in the areas we cover, but does not say which job it does
What it does
This repository introduces how to use convolutional neural networks (CNNs) and transfer learning techniques to develop intrusion detection systems. Ensemble learning and hyperparameter optimization techniques are also used to achieve optimized model performance.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 6 months ago
- Stars
- 206
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 33% closed
- 2 still open
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 100%
Topics
- machine-learning
- deep-learning
- cnn
- convolutional-neural-networks
- transfer-learning
- ensemble-learning
- hyperparameter-optimization
- cyber-security
- can-bus
- connected-vehicle
- python-examples
- network-security
Project record
- JobOther AI tools
- StatusListed
- Commits35
- Forks44
- Watching3
- Stars in 28 days+1
- CreatedJan 25, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026