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Dhruva Shaw
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some updates
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_projects/phishnet.md

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---
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layout: distill
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layout: page
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title: PhishNet
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description: An AI-based solution for the monitoring and detection of phishing domains and URLs.
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category: defence
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**Confusion Matrix**
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| | **Predicted Not Phishing** | **Predicted Phishing** |
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| ----------------------- | -------------------------- | ---------------------- |
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| **Actual Not Phishing** | 4,787 | 533 |
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| **Actual Phishing** | 677 | 3,489 |
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| | **Predicted Not Phishing** | **Predicted Phishing** |
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| ----------------------- | -------------------------- | ---------------------- |
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| **Actual Not Phishing** | 4,787 | 533 |
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| **Actual Phishing** | 677 | 3,489 |
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- **Key Feature Importances**: `entropyURL` (0.184), `averageSubdomainLength` (0.137), and `entropyDomain` (0.122).
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**Confusion Matrix**
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| | **Predicted Not Phishing** | **Predicted Phishing** |
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|-:-----------------------|-:--------------------------|-:----------------------|
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| **Actual Not Phishing** | 6,363 | 286 |
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| **Actual Phishing** | 313 | 5,098 |
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| | **Predicted Not Phishing** | **Predicted Phishing** |
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| ----------------------: | -------------------------: | ---------------------: |
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| **Actual Not Phishing** | 6,363 | 286 |
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| **Actual Phishing** | 313 | 5,098 |
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- **Key Feature Importances**: Character n-grams from the URL string, such as `s:/` (0.0196) and `tp:/` (0.0172).
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