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Cyber-Security project on “Forecasting Zero-Day vulnerabilities using ML” (Prep, Samp, GA)

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tpot_mnst1.txt
tpot_mnst1.txt
 
 
Class imbalance.png
Class imbalance.png
 
 
Forecasting Zero-Day vulnerabilities using ML.pdf
Forecasting Zero-Day vulnerabilities using ML.pdf
 
 
Heatmap.png
Heatmap.png
 
 
Kaggledata.csv
Kaggledata.csv
 
 
Oversampled.png
Oversampled.png
 
 
README.md
README.md
 
 
Undersampled.png
Undersampled.png
 
 
Zero-day vulnerabilities ML - Research.ipynb
Zero-day vulnerabilities ML - Research.ipynb
 
 

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Cyber-Security project “Forecasting Zero-Day vulnerabilities using ML” (Prep, Samp, GA)

• Compared two final Pipelines, one with an 85% lower computational cost than the other
• Pipeline 1 outperformed Pipeline 2 when provided with equal computational resources
• Obtained 99% accuracy and achieved superior results with less training generations (5 vs 15)

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Cyber-Security project on “Forecasting Zero-Day vulnerabilities using ML” (Prep, Samp, GA)

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cyber-security zero-day-threat

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