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cyber-security

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Machine Learning Model to detect hidden malwares and phase changing malwares.It predicts the date of the next probable attack of the malware and its extent.It deals with the change in network traffic flow.It is developed in Python in Jupyter notebook.

  • Updated Apr 30, 2020
  • Python
magnetron.artificial-intelligence-2.0.mincloud.proxia--IMAGINATION-B

✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an IMAGINATION proxia when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).

  • Updated Sep 22, 2022
  • Jupyter Notebook

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