/Data-Synthesizer-for-Improving-Network-Security-Models

A creative data-driven model for synthesizing time-series datasets to boost the accuracy and fidelity of downstream tasks.

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Data Synthesizer for Improving Network Security Models

  • Developed a creative data-driven model for synthesizing time-series datasets to boost the accuracy and fidelity of downstream tasks.
  • Achieved State-of-The-Art results on 3 network security datasets with an accuracy of 81.1% and beat the DoppelGANger paper.
  • The synthesized dataset improved the accuracy of the tested models by 5%.
  • Trained and tested the model on a dataset of 100,000 data points on distributed GPUs.