INTRUSION DETECTION OF IMBALANCED NETWORK TRAFFIC BASED ON MACHINE LEARNING AND DEEP LEARNING

• Author(s):

  Ms.M.Kowsalya | Ms.A.Meena | Ms.D.Mohanapriya | Ms.C.Sowmiya

• Keywords:

  Network Security, Cyber Threats, Anomalies, Machine Learning.

• Abstract:

  The Dynamic Issues In Cyber Security Are Examined Via The Lens Of Intrusion Detection, Using The ADT-SVM (Adaptive Decision Tree-Support Vector Machine) Method. In The Context Of A Fast Evolving Cyber Threat Scenario Assisted By The Internet, The Research

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Other Details

• Paper id:

  IJSARTV10I489728

• Published in:

  Volume: 10 Issue: 4 April 2024

• Publication Date:

  2024-04-17

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