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Hacker Forum Exploit and Classification for Proactive Cyber Threat Intelligence

This is a research project that utilizes hacker forum data for proactive cyber threat intelligence. This research paper employs state-of-the-art machine learning and deep learning approach to automatically classify hacker forum data into predefined categories and develop interactive visualizations enabling CTI practitioners to explore collected data for proactive and timely CTI. The results from this research shows that among all the models, deep learning model RNN GRU gives the best classification results with 99.025% accuracy and 96.56% precision.

Tools & Libraries Used

  • Python 2.7
  • Sklearn
  • Pandas
  • Keras
  • Seaborn
  • Numpy
  • NLTK
  • Anaconda

Dataset Used

Data Visualizations

Label Classification

ML Models Accuracy Score

DL Models Accuracy Score

Contributors

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